BCIgui/Masterarbeit/openvibe/extras-master/plugins/processing/classification/box-tutorials/classification-2-incremental.xml

<OpenViBE-Scenario>
	<FormatVersion>2</FormatVersion>
	<Creator>OpenViBE Designer</Creator>
	<CreatorVersion>2.1.0</CreatorVersion>
	<Settings></Settings>
	<Inputs></Inputs>
	<Outputs></Outputs>
	<Boxes>
		<Box>
			<Identifier>(0x000001b3, 0x00001dd9)</Identifier>
			<Name>Feature aggregator</Name>
			<AlgorithmClassIdentifier>(0x00682417, 0x453635f9)</AlgorithmClassIdentifier>
			<Inputs>
				<Input>
					<TypeIdentifier>(0x544a003e, 0x6dcba5f6)</TypeIdentifier>
					<Name>Input stream 1</Name>
				</Input>
			</Inputs>
			<Outputs>
				<Output>
					<TypeIdentifier>(0x17341935, 0x152ff448)</TypeIdentifier>
					<Name>Feature vector stream</Name>
				</Output>
			</Outputs>
			<Attributes>
				<Attribute>
					<Identifier>(0x1fa7a38f, 0x54edbe0b)</Identifier>
					<Value>582</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0x207c9054, 0x3c841b63)</Identifier>
					<Value>496</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0x4e7b798a, 0x183beafb)</Identifier>
					<Value>(0xb5d15cc9, 0x6c8c28fb)</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0xc46b3d00, 0x3e0454e1)</Identifier>
					<Value>(0x00000000, 0x00302844)</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0xc73e83ec, 0xf855c5bc)</Identifier>
					<Value>false</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0xc80ce8af, 0xf699f813)</Identifier>
					<Value>1</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0xcfad85b0, 0x7c6d841c)</Identifier>
					<Value>1</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0xfba64161, 0x65304e21)</Identifier>
					<Value></Value>
				</Attribute>
			</Attributes>
		</Box>
		<Box>
			<Identifier>(0x00000a83, 0x00006fd7)</Identifier>
			<Name>Player Controller</Name>
			<AlgorithmClassIdentifier>(0x5f426dce, 0x08456e13)</AlgorithmClassIdentifier>
			<Inputs>
				<Input>
					<TypeIdentifier>(0x6f752dd0, 0x082a321e)</TypeIdentifier>
					<Name>Stimulations</Name>
				</Input>
			</Inputs>
			<Settings>
				<Setting>
					<TypeIdentifier>(0x2c132d6e, 0x44ab0d97)</TypeIdentifier>
					<Name>Stimulation name</Name>
					<DefaultValue>OVTK_StimulationId_Label_00</DefaultValue>
					<Value>OVTK_StimulationId_ExperimentStop</Value>
					<Modifiability>false</Modifiability>
				</Setting>
				<Setting>
					<TypeIdentifier>(0xcc14d8d6, 0xf27ecb73)</TypeIdentifier>
					<Name>Action to perform</Name>
					<DefaultValue>Pause</DefaultValue>
					<Value>Pause</Value>
					<Modifiability>false</Modifiability>
				</Setting>
			</Settings>
			<Attributes>
				<Attribute>
					<Identifier>(0x1fa7a38f, 0x54edbe0b)</Identifier>
					<Value>880</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0x207c9054, 0x3c841b63)</Identifier>
					<Value>160</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0x4e7b798a, 0x183beafb)</Identifier>
					<Value>(0x568d148e, 0x650792b3)</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0xc46b3d00, 0x3e0454e1)</Identifier>
					<Value>(0x00000000, 0x00ec2443)</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0xc73e83ec, 0xf855c5bc)</Identifier>
					<Value>false</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0xce18836a, 0x9c0eb403)</Identifier>
					<Value>2</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0xcfad85b0, 0x7c6d841c)</Identifier>
					<Value>1</Value>
				</Attribute>
			</Attributes>
		</Box>
		<Box>
			<Identifier>(0x00000d0c, 0x00002cda)</Identifier>
			<Name>Confusion Matrix</Name>
			<AlgorithmClassIdentifier>(0x1ab625da, 0x3b2502ce)</AlgorithmClassIdentifier>
			<Inputs>
				<Input>
					<TypeIdentifier>(0x6f752dd0, 0x082a321e)</TypeIdentifier>
					<Name>Targets</Name>
				</Input>
				<Input>
					<TypeIdentifier>(0x6f752dd0, 0x082a321e)</TypeIdentifier>
					<Name>Classification results</Name>
				</Input>
			</Inputs>
			<Outputs>
				<Output>
					<TypeIdentifier>(0x544a003e, 0x6dcba5f6)</TypeIdentifier>
					<Name>Confusion Matrix</Name>
				</Output>
			</Outputs>
			<Settings>
				<Setting>
					<TypeIdentifier>(0x2cdb2f0b, 0x12f231ea)</TypeIdentifier>
					<Name>Percentages</Name>
					<DefaultValue>true</DefaultValue>
					<Value>true</Value>
					<Modifiability>false</Modifiability>
				</Setting>
				<Setting>
					<TypeIdentifier>(0x2cdb2f0b, 0x12f231ea)</TypeIdentifier>
					<Name>Sums</Name>
					<DefaultValue>false</DefaultValue>
					<Value>false</Value>
					<Modifiability>false</Modifiability>
				</Setting>
				<Setting>
					<TypeIdentifier>(0x2c132d6e, 0x44ab0d97)</TypeIdentifier>
					<Name>Class 1</Name>
					<DefaultValue>OVTK_StimulationId_Label_00</DefaultValue>
					<Value>OVTK_StimulationId_Label_01</Value>
					<Modifiability>false</Modifiability>
				</Setting>
				<Setting>
					<TypeIdentifier>(0x2c132d6e, 0x44ab0d97)</TypeIdentifier>
					<Name>Class 2</Name>
					<DefaultValue>OVTK_StimulationId_Label_01</DefaultValue>
					<Value>OVTK_StimulationId_Label_02</Value>
					<Modifiability>false</Modifiability>
				</Setting>
				<Setting>
					<TypeIdentifier>(0x2c132d6e, 0x44ab0d97)</TypeIdentifier>
					<Name>Class 3</Name>
					<DefaultValue>OVTK_GDF_Artifact_EOG_Large</DefaultValue>
					<Value>OVTK_StimulationId_Label_03</Value>
					<Modifiability>false</Modifiability>
				</Setting>
			</Settings>
			<Attributes>
				<Attribute>
					<Identifier>(0x1fa7a38f, 0x54edbe0b)</Identifier>
					<Value>784</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0x207c9054, 0x3c841b63)</Identifier>
					<Value>288</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0x4e7b798a, 0x183beafb)</Identifier>
					<Value>(0x05cf579a, 0x80d8b480)</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0x61d11811, 0x71e65362)</Identifier>
					<Value></Value>
				</Attribute>
				<Attribute>
					<Identifier>(0xc46b3d00, 0x3e0454e1)</Identifier>
					<Value>(0x00000000, 0x029ebee3)</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0xc73e83ec, 0xf855c5bc)</Identifier>
					<Value>false</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0xc80ce8af, 0xf699f813)</Identifier>
					<Value>1</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0xce18836a, 0x9c0eb403)</Identifier>
					<Value>4</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0xcfad85b0, 0x7c6d841c)</Identifier>
					<Value>2</Value>
				</Attribute>
			</Attributes>
		</Box>
		<Box>
			<Identifier>(0x00001838, 0x00000241)</Identifier>
			<Name>Matrix Display</Name>
			<AlgorithmClassIdentifier>(0x54f0796d, 0x3ede2cc0)</AlgorithmClassIdentifier>
			<Inputs>
				<Input>
					<TypeIdentifier>(0x544a003e, 0x6dcba5f6)</TypeIdentifier>
					<Name>Matrix</Name>
				</Input>
			</Inputs>
			<Settings>
				<Setting>
					<TypeIdentifier>(0x3d3c7c7f, 0xef0e7129)</TypeIdentifier>
					<Name>Color gradient</Name>
					<DefaultValue>0:2,36,58; 50:100,100,100; 100:83,17,20</DefaultValue>
					<Value>0:2,36,58; 50:100,100,100; 100:83,17,20</Value>
					<Modifiability>false</Modifiability>
				</Setting>
				<Setting>
					<TypeIdentifier>(0x007deef9, 0x2f3e95c6)</TypeIdentifier>
					<Name>Steps</Name>
					<DefaultValue>100</DefaultValue>
					<Value>100</Value>
					<Modifiability>false</Modifiability>
				</Setting>
				<Setting>
					<TypeIdentifier>(0x2cdb2f0b, 0x12f231ea)</TypeIdentifier>
					<Name>Symetric min/max</Name>
					<DefaultValue>false</DefaultValue>
					<Value>false</Value>
					<Modifiability>false</Modifiability>
				</Setting>
				<Setting>
					<TypeIdentifier>(0x2cdb2f0b, 0x12f231ea)</TypeIdentifier>
					<Name>Real time min/max</Name>
					<DefaultValue>false</DefaultValue>
					<Value>false</Value>
					<Modifiability>false</Modifiability>
				</Setting>
			</Settings>
			<Attributes>
				<Attribute>
					<Identifier>(0x1fa7a38f, 0x54edbe0b)</Identifier>
					<Value>848</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0x207c9054, 0x3c841b63)</Identifier>
					<Value>304</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0x4e7b798a, 0x183beafb)</Identifier>
					<Value>(0x4ff49bdb, 0x9dcf6788)</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0xc46b3d00, 0x3e0454e1)</Identifier>
					<Value>(0x00000000, 0x00bcabb6)</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0xc73e83ec, 0xf855c5bc)</Identifier>
					<Value>false</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0xce18836a, 0x9c0eb403)</Identifier>
					<Value>4</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0xcfad85b0, 0x7c6d841c)</Identifier>
					<Value>1</Value>
				</Attribute>
			</Attributes>
		</Box>
		<Box>
			<Identifier>(0x000019ca, 0x00002a82)</Identifier>
			<Name>Signal average</Name>
			<AlgorithmClassIdentifier>(0x00642c4d, 0x5df7e50a)</AlgorithmClassIdentifier>
			<Inputs>
				<Input>
					<TypeIdentifier>(0x5ba36127, 0x195feae1)</TypeIdentifier>
					<Name>Input signal</Name>
				</Input>
			</Inputs>
			<Outputs>
				<Output>
					<TypeIdentifier>(0x5ba36127, 0x195feae1)</TypeIdentifier>
					<Name>Filtered signal</Name>
				</Output>
			</Outputs>
			<Attributes>
				<Attribute>
					<Identifier>(0x1fa7a38f, 0x54edbe0b)</Identifier>
					<Value>454</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0x207c9054, 0x3c841b63)</Identifier>
					<Value>240</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0x4e7b798a, 0x183beafb)</Identifier>
					<Value>(0xc5ff4187, 0xffc5f432)</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0xc46b3d00, 0x3e0454e1)</Identifier>
					<Value>(0x00000000, 0x002bfe51)</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0xc73e83ec, 0xf855c5bc)</Identifier>
					<Value>false</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0xc80ce8af, 0xf699f813)</Identifier>
					<Value>1</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0xcfad85b0, 0x7c6d841c)</Identifier>
					<Value>1</Value>
				</Attribute>
			</Attributes>
		</Box>
		<Box>
			<Identifier>(0x00001f59, 0x00002c7a)</Identifier>
			<Name>Clock stimulator</Name>
			<AlgorithmClassIdentifier>(0x4f756d3f, 0x29ff0b96)</AlgorithmClassIdentifier>
			<Outputs>
				<Output>
					<TypeIdentifier>(0x6f752dd0, 0x082a321e)</TypeIdentifier>
					<Name>Generated stimulations</Name>
				</Output>
			</Outputs>
			<Settings>
				<Setting>
					<TypeIdentifier>(0x512a166f, 0x5c3ef83f)</TypeIdentifier>
					<Name>Interstimulation interval (in sec)</Name>
					<DefaultValue>1.0</DefaultValue>
					<Value>2.0</Value>
					<Modifiability>false</Modifiability>
				</Setting>
				<Setting>
					<TypeIdentifier>(0x2c132d6e, 0x44ab0d97)</TypeIdentifier>
					<Name>Stimulation</Name>
					<DefaultValue>OVTK_StimulationId_Label_00</DefaultValue>
					<Value>OVTK_StimulationId_Train</Value>
					<Modifiability>false</Modifiability>
				</Setting>
			</Settings>
			<Attributes>
				<Attribute>
					<Identifier>(0x1fa7a38f, 0x54edbe0b)</Identifier>
					<Value>560</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0x207c9054, 0x3c841b63)</Identifier>
					<Value>736</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0x4e7b798a, 0x183beafb)</Identifier>
					<Value>(0x27b3ee3c, 0xc50527e6)</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0xc46b3d00, 0x3e0454e1)</Identifier>
					<Value>(0x00000000, 0x005ac723)</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0xc73e83ec, 0xf855c5bc)</Identifier>
					<Value>false</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0xc80ce8af, 0xf699f813)</Identifier>
					<Value>1</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0xce18836a, 0x9c0eb403)</Identifier>
					<Value>2</Value>
				</Attribute>
			</Attributes>
		</Box>
		<Box>
			<Identifier>(0x0000382f, 0x00002565)</Identifier>
			<Name>Classifier processor</Name>
			<AlgorithmClassIdentifier>(0x5fe23d17, 0x95b0452c)</AlgorithmClassIdentifier>
			<Inputs>
				<Input>
					<TypeIdentifier>(0x17341935, 0x152ff448)</TypeIdentifier>
					<Name>Features</Name>
				</Input>
				<Input>
					<TypeIdentifier>(0x6f752dd0, 0x082a321e)</TypeIdentifier>
					<Name>Commands</Name>
				</Input>
			</Inputs>
			<Outputs>
				<Output>
					<TypeIdentifier>(0x6f752dd0, 0x082a321e)</TypeIdentifier>
					<Name>Labels</Name>
				</Output>
				<Output>
					<TypeIdentifier>(0x544a003e, 0x6dcba5f6)</TypeIdentifier>
					<Name>Hyperplane distance</Name>
				</Output>
				<Output>
					<TypeIdentifier>(0x544a003e, 0x6dcba5f6)</TypeIdentifier>
					<Name>Probability values</Name>
				</Output>
			</Outputs>
			<Settings>
				<Setting>
					<TypeIdentifier>(0x330306dd, 0x74a95f98)</TypeIdentifier>
					<Name>Filename to load configuration from</Name>
					<DefaultValue></DefaultValue>
					<Value>${Player_ScenarioDirectory}/classification-2-incremental.cfg</Value>
					<Modifiability>false</Modifiability>
				</Setting>
			</Settings>
			<Attributes>
				<Attribute>
					<Identifier>(0x1fa7a38f, 0x54edbe0b)</Identifier>
					<Value>720</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0x207c9054, 0x3c841b63)</Identifier>
					<Value>368</Value>
				</Attribute>
				<Attribute>
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					<Value>(0xa6c8e548, 0x9e3e405b)</Value>
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				<Attribute>
					<Identifier>(0xc46b3d00, 0x3e0454e1)</Identifier>
					<Value>(0x00000000, 0x008705e9)</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0xc73e83ec, 0xf855c5bc)</Identifier>
					<Value>false</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0xc80ce8af, 0xf699f813)</Identifier>
					<Value>3</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0xce18836a, 0x9c0eb403)</Identifier>
					<Value>1</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0xcfad85b0, 0x7c6d841c)</Identifier>
					<Value>2</Value>
				</Attribute>
			</Attributes>
		</Box>
		<Box>
			<Identifier>(0x00004173, 0x000028f8)</Identifier>
			<Name>Simple DSP</Name>
			<AlgorithmClassIdentifier>(0x00e26fa1, 0x1dbab1b2)</AlgorithmClassIdentifier>
			<Inputs>
				<Input>
					<TypeIdentifier>(0x5ba36127, 0x195feae1)</TypeIdentifier>
					<Name>Input - A</Name>
				</Input>
			</Inputs>
			<Outputs>
				<Output>
					<TypeIdentifier>(0x5ba36127, 0x195feae1)</TypeIdentifier>
					<Name>Output</Name>
				</Output>
			</Outputs>
			<Settings>
				<Setting>
					<TypeIdentifier>(0x79a9edeb, 0x245d83fc)</TypeIdentifier>
					<Name>Equation</Name>
					<DefaultValue>x</DefaultValue>
					<Value>(x+1)*10</Value>
					<Modifiability>false</Modifiability>
				</Setting>
			</Settings>
			<Attributes>
				<Attribute>
					<Identifier>(0x1fa7a38f, 0x54edbe0b)</Identifier>
					<Value>112</Value>
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				<Attribute>
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				</Attribute>
				<Attribute>
					<Identifier>(0x30a4e5c9, 0x83502953)</Identifier>
					<Value></Value>
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				<Attribute>
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					<Value>(0x21889dc4, 0x1126497e)</Value>
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				<Attribute>
					<Identifier>(0x527ad68d, 0x16d746a0)</Identifier>
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				<Attribute>
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				<Attribute>
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					<Value>false</Value>
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				<Attribute>
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				<Attribute>
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				<Attribute>
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				<Attribute>
					<Identifier>(0xfba64161, 0x65304e21)</Identifier>
					<Value></Value>
				</Attribute>
			</Attributes>
		</Box>
		<Box>
			<Identifier>(0x000049ab, 0x00001b71)</Identifier>
			<Name>Spatial Filter</Name>
			<AlgorithmClassIdentifier>(0xdd332c6c, 0x195b4fd4)</AlgorithmClassIdentifier>
			<Inputs>
				<Input>
					<TypeIdentifier>(0x5ba36127, 0x195feae1)</TypeIdentifier>
					<Name>Input Signal</Name>
				</Input>
			</Inputs>
			<Outputs>
				<Output>
					<TypeIdentifier>(0x5ba36127, 0x195feae1)</TypeIdentifier>
					<Name>Output Signal</Name>
				</Output>
			</Outputs>
			<Settings>
				<Setting>
					<TypeIdentifier>(0x79a9edeb, 0x245d83fc)</TypeIdentifier>
					<Name>Spatial Filter Coefficients</Name>
					<DefaultValue>1;0;0;0;0;1;0;0;0;0;1;0;0;0;0;1</DefaultValue>
					<Value>0.95;0;0;0; 0;1;0;0; 0;0;0.95;0; 0;0;0;1</Value>
					<Modifiability>false</Modifiability>
				</Setting>
				<Setting>
					<TypeIdentifier>(0x007deef9, 0x2f3e95c6)</TypeIdentifier>
					<Name>Number of Output Channels</Name>
					<DefaultValue>4</DefaultValue>
					<Value>4</Value>
					<Modifiability>false</Modifiability>
				</Setting>
				<Setting>
					<TypeIdentifier>(0x007deef9, 0x2f3e95c6)</TypeIdentifier>
					<Name>Number of Input Channels</Name>
					<DefaultValue>4</DefaultValue>
					<Value>4</Value>
					<Modifiability>false</Modifiability>
				</Setting>
				<Setting>
					<TypeIdentifier>(0x330306dd, 0x74a95f98)</TypeIdentifier>
					<Name>Filter matrix file</Name>
					<DefaultValue></DefaultValue>
					<Value></Value>
					<Modifiability>false</Modifiability>
				</Setting>
			</Settings>
			<Attributes>
				<Attribute>
					<Identifier>(0x1fa7a38f, 0x54edbe0b)</Identifier>
					<Value>326</Value>
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				<Attribute>
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				<Attribute>
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				<Attribute>
					<Identifier>(0x527ad68d, 0x16d746a0)</Identifier>
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				<Attribute>
					<Identifier>(0xc46b3d00, 0x3e0454e1)</Identifier>
					<Value>(0x00000000, 0x0046eb98)</Value>
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				<Attribute>
					<Identifier>(0xc73e83ec, 0xf855c5bc)</Identifier>
					<Value>false</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0xc80ce8af, 0xf699f813)</Identifier>
					<Value>1</Value>
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				<Attribute>
					<Identifier>(0xce18836a, 0x9c0eb403)</Identifier>
					<Value>3</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0xcfad85b0, 0x7c6d841c)</Identifier>
					<Value>1</Value>
				</Attribute>
			</Attributes>
		</Box>
		<Box>
			<Identifier>(0x000053c9, 0x000018f6)</Identifier>
			<Name>Classifier trainer</Name>
			<AlgorithmClassIdentifier>(0xf3dae8a8, 0x3b444154)</AlgorithmClassIdentifier>
			<Inputs>
				<Input>
					<TypeIdentifier>(0x6f752dd0, 0x082a321e)</TypeIdentifier>
					<Name>Stimulations</Name>
				</Input>
				<Input>
					<TypeIdentifier>(0x17341935, 0x152ff448)</TypeIdentifier>
					<Name>Features for class 1</Name>
				</Input>
				<Input>
					<TypeIdentifier>(0x17341935, 0x152ff448)</TypeIdentifier>
					<Name>Features for class 2</Name>
				</Input>
				<Input>
					<TypeIdentifier>(0x17341935, 0x152ff448)</TypeIdentifier>
					<Name>Features for class 3</Name>
				</Input>
			</Inputs>
			<Outputs>
				<Output>
					<TypeIdentifier>(0x6f752dd0, 0x082a321e)</TypeIdentifier>
					<Name>Train-completed Flag</Name>
				</Output>
			</Outputs>
			<Settings>
				<Setting>
					<TypeIdentifier>(0x2c132d6e, 0x44ab0d97)</TypeIdentifier>
					<Name>Train trigger</Name>
					<DefaultValue>OVTK_StimulationId_Train</DefaultValue>
					<Value>OVTK_StimulationId_Train</Value>
					<Modifiability>false</Modifiability>
				</Setting>
				<Setting>
					<TypeIdentifier>(0x330306dd, 0x74a95f98)</TypeIdentifier>
					<Name>Filename to save configuration to</Name>
					<DefaultValue>${Path_UserData}/my-classifier.xml</DefaultValue>
					<Value>${Player_ScenarioDirectory}/classification-2-incremental.cfg</Value>
					<Modifiability>false</Modifiability>
				</Setting>
				<Setting>
					<TypeIdentifier>(0xbe9eba5c, 0xa8415d37)</TypeIdentifier>
					<Name>Multiclass strategy to apply</Name>
					<DefaultValue>Native</DefaultValue>
					<Value>Native</Value>
					<Modifiability>false</Modifiability>
				</Setting>
				<Setting>
					<TypeIdentifier>(0x2c132d6e, 0x44ab0d97)</TypeIdentifier>
					<Name>Class 1 label</Name>
					<DefaultValue>OVTK_StimulationId_Label_01</DefaultValue>
					<Value>OVTK_StimulationId_Label_01</Value>
					<Modifiability>false</Modifiability>
				</Setting>
				<Setting>
					<TypeIdentifier>(0x2c132d6e, 0x44ab0d97)</TypeIdentifier>
					<Name>Class 2 label</Name>
					<DefaultValue>OVTK_StimulationId_Label_02</DefaultValue>
					<Value>OVTK_StimulationId_Label_02</Value>
					<Modifiability>false</Modifiability>
				</Setting>
				<Setting>
					<TypeIdentifier>(0x2c132d6e, 0x44ab0d97)</TypeIdentifier>
					<Name>Class 3 label</Name>
					<DefaultValue>OVTK_StimulationId_Label_03</DefaultValue>
					<Value>OVTK_StimulationId_Label_03</Value>
					<Modifiability>false</Modifiability>
				</Setting>
				<Setting>
					<TypeIdentifier>(0xd765a736, 0xed708c65)</TypeIdentifier>
					<Name>Algorithm to use</Name>
					<DefaultValue>Linear Discrimimant Analysis (LDA)</DefaultValue>
					<Value>Linear Discrimimant Analysis (LDA)</Value>
					<Modifiability>false</Modifiability>
				</Setting>
				<Setting>
					<TypeIdentifier>(0x2cdb2f0b, 0x12f231ea)</TypeIdentifier>
					<Name>Use shrinkage</Name>
					<DefaultValue>false</DefaultValue>
					<Value>false</Value>
					<Modifiability>false</Modifiability>
				</Setting>
				<Setting>
					<TypeIdentifier>(0x512a166f, 0x5c3ef83f)</TypeIdentifier>
					<Name>Shrinkage coefficient (-1 == auto)</Name>
					<DefaultValue>-1.000000</DefaultValue>
					<Value>-1.000000</Value>
					<Modifiability>false</Modifiability>
				</Setting>
				<Setting>
					<TypeIdentifier>(0x2cdb2f0b, 0x12f231ea)</TypeIdentifier>
					<Name>Shrinkage: Force diagonal cov (DDA)</Name>
					<DefaultValue>false</DefaultValue>
					<Value>false</Value>
					<Modifiability>false</Modifiability>
				</Setting>
				<Setting>
					<TypeIdentifier>(0x007deef9, 0x2f3e95c6)</TypeIdentifier>
					<Name>Number of partitions for k-fold cross-validation test</Name>
					<DefaultValue>5</DefaultValue>
					<Value>0</Value>
					<Modifiability>false</Modifiability>
				</Setting>
				<Setting>
					<TypeIdentifier>(0x2cdb2f0b, 0x12f231ea)</TypeIdentifier>
					<Name>Balance classes</Name>
					<DefaultValue>false</DefaultValue>
					<Value>true</Value>
					<Modifiability>false</Modifiability>
				</Setting>
			</Settings>
			<Attributes>
				<Attribute>
					<Identifier>(0x1fa7a38f, 0x54edbe0b)</Identifier>
					<Value>656</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0x207c9054, 0x3c841b63)</Identifier>
					<Value>576</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0x4e7b798a, 0x183beafb)</Identifier>
					<Value>(0x9de21779, 0x37776c89)</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0xc46b3d00, 0x3e0454e1)</Identifier>
					<Value>(0x00000000, 0x007af194)</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0xc73e83ec, 0xf855c5bc)</Identifier>
					<Value>false</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0xc80ce8af, 0xf699f813)</Identifier>
					<Value>1</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0xce18836a, 0x9c0eb403)</Identifier>
					<Value>6</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0xcfad85b0, 0x7c6d841c)</Identifier>
					<Value>3</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0xfba64161, 0x65304e21)</Identifier>
					<Value></Value>
				</Attribute>
			</Attributes>
		</Box>
		<Box>
			<Identifier>(0x000054b6, 0x00003d05)</Identifier>
			<Name>Signal average</Name>
			<AlgorithmClassIdentifier>(0x00642c4d, 0x5df7e50a)</AlgorithmClassIdentifier>
			<Inputs>
				<Input>
					<TypeIdentifier>(0x5ba36127, 0x195feae1)</TypeIdentifier>
					<Name>Input signal</Name>
				</Input>
			</Inputs>
			<Outputs>
				<Output>
					<TypeIdentifier>(0x5ba36127, 0x195feae1)</TypeIdentifier>
					<Name>Filtered signal</Name>
				</Output>
			</Outputs>
			<Attributes>
				<Attribute>
					<Identifier>(0x1fa7a38f, 0x54edbe0b)</Identifier>
					<Value>454</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0x207c9054, 0x3c841b63)</Identifier>
					<Value>480</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0x4e7b798a, 0x183beafb)</Identifier>
					<Value>(0xc5ff4187, 0xffc5f432)</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0xc46b3d00, 0x3e0454e1)</Identifier>
					<Value>(0x00000000, 0x0034e495)</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0xc73e83ec, 0xf855c5bc)</Identifier>
					<Value>false</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0xc80ce8af, 0xf699f813)</Identifier>
					<Value>1</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0xcfad85b0, 0x7c6d841c)</Identifier>
					<Value>1</Value>
				</Attribute>
			</Attributes>
		</Box>
		<Box>
			<Identifier>(0x00005ad9, 0x00001e9a)</Identifier>
			<Name>Noise generator</Name>
			<AlgorithmClassIdentifier>(0x0e3929f1, 0x15af76b9)</AlgorithmClassIdentifier>
			<Outputs>
				<Output>
					<TypeIdentifier>(0x5ba36127, 0x195feae1)</TypeIdentifier>
					<Name>Generated signal</Name>
				</Output>
			</Outputs>
			<Settings>
				<Setting>
					<TypeIdentifier>(0x007deef9, 0x2f3e95c6)</TypeIdentifier>
					<Name>Channel count</Name>
					<DefaultValue>4</DefaultValue>
					<Value>4</Value>
					<Modifiability>false</Modifiability>
				</Setting>
				<Setting>
					<TypeIdentifier>(0x007deef9, 0x2f3e95c6)</TypeIdentifier>
					<Name>Sampling frequency</Name>
					<DefaultValue>512</DefaultValue>
					<Value>512</Value>
					<Modifiability>false</Modifiability>
				</Setting>
				<Setting>
					<TypeIdentifier>(0x007deef9, 0x2f3e95c6)</TypeIdentifier>
					<Name>Generated epoch sample count</Name>
					<DefaultValue>32</DefaultValue>
					<Value>64</Value>
					<Modifiability>false</Modifiability>
				</Setting>
				<Setting>
					<TypeIdentifier>(0x2e85e95e, 0x8a1a8365)</TypeIdentifier>
					<Name>Noise type</Name>
					<DefaultValue>Uniform</DefaultValue>
					<Value>Uniform</Value>
					<Modifiability>false</Modifiability>
				</Setting>
			</Settings>
			<Attributes>
				<Attribute>
					<Identifier>(0x1fa7a38f, 0x54edbe0b)</Identifier>
					<Value>48</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0x207c9054, 0x3c841b63)</Identifier>
					<Value>368</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0x4e7b798a, 0x183beafb)</Identifier>
					<Value>(0x0b214ed8, 0x1f9ad83a)</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0xc46b3d00, 0x3e0454e1)</Identifier>
					<Value>(0x00000000, 0x003f0135)</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0xc73e83ec, 0xf855c5bc)</Identifier>
					<Value>false</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0xc80ce8af, 0xf699f813)</Identifier>
					<Value>1</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0xce18836a, 0x9c0eb403)</Identifier>
					<Value>4</Value>
				</Attribute>
			</Attributes>
		</Box>
		<Box>
			<Identifier>(0x00005aec, 0x00002f62)</Identifier>
			<Name>Spatial Filter</Name>
			<AlgorithmClassIdentifier>(0xdd332c6c, 0x195b4fd4)</AlgorithmClassIdentifier>
			<Inputs>
				<Input>
					<TypeIdentifier>(0x5ba36127, 0x195feae1)</TypeIdentifier>
					<Name>Input Signal</Name>
				</Input>
			</Inputs>
			<Outputs>
				<Output>
					<TypeIdentifier>(0x5ba36127, 0x195feae1)</TypeIdentifier>
					<Name>Output Signal</Name>
				</Output>
			</Outputs>
			<Settings>
				<Setting>
					<TypeIdentifier>(0x79a9edeb, 0x245d83fc)</TypeIdentifier>
					<Name>Spatial Filter Coefficients</Name>
					<DefaultValue>1;0;0;0;0;1;0;0;0;0;1;0;0;0;0;1</DefaultValue>
					<Value>1;0;0;0; 0;0.95;0;0; 0;0;0.95;0; 0;0;0;1</Value>
					<Modifiability>false</Modifiability>
				</Setting>
				<Setting>
					<TypeIdentifier>(0x007deef9, 0x2f3e95c6)</TypeIdentifier>
					<Name>Number of Output Channels</Name>
					<DefaultValue>4</DefaultValue>
					<Value>4</Value>
					<Modifiability>false</Modifiability>
				</Setting>
				<Setting>
					<TypeIdentifier>(0x007deef9, 0x2f3e95c6)</TypeIdentifier>
					<Name>Number of Input Channels</Name>
					<DefaultValue>4</DefaultValue>
					<Value>4</Value>
					<Modifiability>false</Modifiability>
				</Setting>
				<Setting>
					<TypeIdentifier>(0x330306dd, 0x74a95f98)</TypeIdentifier>
					<Name>Filter matrix file</Name>
					<DefaultValue></DefaultValue>
					<Value></Value>
					<Modifiability>false</Modifiability>
				</Setting>
			</Settings>
			<Attributes>
				<Attribute>
					<Identifier>(0x1fa7a38f, 0x54edbe0b)</Identifier>
					<Value>326</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0x207c9054, 0x3c841b63)</Identifier>
					<Value>240</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0x30a4e5c9, 0x83502953)</Identifier>
					<Value></Value>
				</Attribute>
				<Attribute>
					<Identifier>(0x4e7b798a, 0x183beafb)</Identifier>
					<Value>(0x81db9bf9, 0xf1cf4ed7)</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0x527ad68d, 0x16d746a0)</Identifier>
					<Value></Value>
				</Attribute>
				<Attribute>
					<Identifier>(0xc46b3d00, 0x3e0454e1)</Identifier>
					<Value>(0x00000000, 0x00321433)</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0xc73e83ec, 0xf855c5bc)</Identifier>
					<Value>false</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0xc80ce8af, 0xf699f813)</Identifier>
					<Value>1</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0xce18836a, 0x9c0eb403)</Identifier>
					<Value>3</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0xcfad85b0, 0x7c6d841c)</Identifier>
					<Value>1</Value>
				</Attribute>
			</Attributes>
		</Box>
		<Box>
			<Identifier>(0x00005cfa, 0x0000014c)</Identifier>
			<Name>Feature aggregator</Name>
			<AlgorithmClassIdentifier>(0x00682417, 0x453635f9)</AlgorithmClassIdentifier>
			<Inputs>
				<Input>
					<TypeIdentifier>(0x544a003e, 0x6dcba5f6)</TypeIdentifier>
					<Name>Input stream 1</Name>
				</Input>
			</Inputs>
			<Outputs>
				<Output>
					<TypeIdentifier>(0x17341935, 0x152ff448)</TypeIdentifier>
					<Name>Feature vector stream</Name>
				</Output>
			</Outputs>
			<Attributes>
				<Attribute>
					<Identifier>(0x1fa7a38f, 0x54edbe0b)</Identifier>
					<Value>576</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0x207c9054, 0x3c841b63)</Identifier>
					<Value>368</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0x4e7b798a, 0x183beafb)</Identifier>
					<Value>(0xb5d15cc9, 0x6c8c28fb)</Value>
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				<Attribute>
					<Identifier>(0xc46b3d00, 0x3e0454e1)</Identifier>
					<Value>(0x00000000, 0x0045112b)</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0xc73e83ec, 0xf855c5bc)</Identifier>
					<Value>false</Value>
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				<Attribute>
					<Identifier>(0xc80ce8af, 0xf699f813)</Identifier>
					<Value>1</Value>
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				<Attribute>
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					<Value>1</Value>
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				<Attribute>
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					<Value></Value>
				</Attribute>
			</Attributes>
		</Box>
		<Box>
			<Identifier>(0x00005dbd, 0x00001d0e)</Identifier>
			<Name>Streamed matrix multiplexer</Name>
			<AlgorithmClassIdentifier>(0x7a12298b, 0x785f4d42)</AlgorithmClassIdentifier>
			<Inputs>
				<Input>
					<TypeIdentifier>(0x17341935, 0x152ff448)</TypeIdentifier>
					<Name>Input stream 1</Name>
				</Input>
				<Input>
					<TypeIdentifier>(0x17341935, 0x152ff448)</TypeIdentifier>
					<Name>Input stream 2</Name>
				</Input>
				<Input>
					<TypeIdentifier>(0x17341935, 0x152ff448)</TypeIdentifier>
					<Name>Input stream 3</Name>
				</Input>
			</Inputs>
			<Outputs>
				<Output>
					<TypeIdentifier>(0x17341935, 0x152ff448)</TypeIdentifier>
					<Name>Multiplexed streamed matrix</Name>
				</Output>
			</Outputs>
			<Attributes>
				<Attribute>
					<Identifier>(0x1fa7a38f, 0x54edbe0b)</Identifier>
					<Value>656</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0x207c9054, 0x3c841b63)</Identifier>
					<Value>368</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0x30a4e5c9, 0x83502953)</Identifier>
					<Value></Value>
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				<Attribute>
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					<Value>(0x4badfdff, 0xc35004a3)</Value>
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				<Attribute>
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					<Value>2</Value>
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					<Value></Value>
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		<Box>
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			<Name>Feature aggregator</Name>
			<AlgorithmClassIdentifier>(0x00682417, 0x453635f9)</AlgorithmClassIdentifier>
			<Inputs>
				<Input>
					<TypeIdentifier>(0x544a003e, 0x6dcba5f6)</TypeIdentifier>
					<Name>Input stream 1</Name>
				</Input>
			</Inputs>
			<Outputs>
				<Output>
					<TypeIdentifier>(0x17341935, 0x152ff448)</TypeIdentifier>
					<Name>Feature vector stream</Name>
				</Output>
			</Outputs>
			<Attributes>
				<Attribute>
					<Identifier>(0x1fa7a38f, 0x54edbe0b)</Identifier>
					<Value>582</Value>
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				<Attribute>
					<Identifier>(0x207c9054, 0x3c841b63)</Identifier>
					<Value>240</Value>
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				<Attribute>
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					<Value>(0xb5d15cc9, 0x6c8c28fb)</Value>
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				<Attribute>
					<Identifier>(0xc46b3d00, 0x3e0454e1)</Identifier>
					<Value>(0x00000000, 0x002bac54)</Value>
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				<Attribute>
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					<Value>false</Value>
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					<Value>1</Value>
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			</Attributes>
		</Box>
		<Box>
			<Identifier>(0x00006747, 0x00003cbe)</Identifier>
			<Name>Stimulation Filter</Name>
			<AlgorithmClassIdentifier>(0x02f96101, 0x5e647cb8)</AlgorithmClassIdentifier>
			<Inputs>
				<Input>
					<TypeIdentifier>(0x6f752dd0, 0x082a321e)</TypeIdentifier>
					<Name>Stimulations</Name>
				</Input>
			</Inputs>
			<Outputs>
				<Output>
					<TypeIdentifier>(0x6f752dd0, 0x082a321e)</TypeIdentifier>
					<Name>Modified Stimulations</Name>
				</Output>
			</Outputs>
			<Settings>
				<Setting>
					<TypeIdentifier>(0x09e59e57, 0x8d4a553a)</TypeIdentifier>
					<Name>Default action</Name>
					<DefaultValue>Reject</DefaultValue>
					<Value>Reject</Value>
					<Modifiability>false</Modifiability>
				</Setting>
				<Setting>
					<TypeIdentifier>(0x512a166f, 0x5c3ef83f)</TypeIdentifier>
					<Name>Time range begin</Name>
					<DefaultValue>0</DefaultValue>
					<Value>0</Value>
					<Modifiability>false</Modifiability>
				</Setting>
				<Setting>
					<TypeIdentifier>(0x512a166f, 0x5c3ef83f)</TypeIdentifier>
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					<DefaultValue>0</DefaultValue>
					<Value>0</Value>
					<Modifiability>false</Modifiability>
				</Setting>
				<Setting>
					<TypeIdentifier>(0x09e59e57, 0x8d4a553a)</TypeIdentifier>
					<Name>Action to perform</Name>
					<DefaultValue>Select</DefaultValue>
					<Value>Select</Value>
					<Modifiability>false</Modifiability>
				</Setting>
				<Setting>
					<TypeIdentifier>(0x2c132d6e, 0x44ab0d97)</TypeIdentifier>
					<Name>Stimulation range begin</Name>
					<DefaultValue>OVTK_StimulationId_Label_00</DefaultValue>
					<Value>OVTK_StimulationId_Label_00</Value>
					<Modifiability>false</Modifiability>
				</Setting>
				<Setting>
					<TypeIdentifier>(0x2c132d6e, 0x44ab0d97)</TypeIdentifier>
					<Name>Stimulation range end</Name>
					<DefaultValue>OVTK_StimulationId_Label_0F</DefaultValue>
					<Value>OVTK_StimulationId_Label_0F</Value>
					<Modifiability>false</Modifiability>
				</Setting>
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					<Value>320</Value>
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					<Value>96</Value>
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					<Value>(0x47859b3f, 0x1dfdf5cd)</Value>
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				<Attribute>
					<Identifier>(0x61d11811, 0x71e65362)</Identifier>
					<Value></Value>
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				<Attribute>
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					<Value>(0x00000000, 0x013dbee9)</Value>
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				<Attribute>
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					<Value>false</Value>
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				<Attribute>
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					<Value>1</Value>
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			<Text>You can browse each box' documentation by selecting the box and pressing &lt;b&gt;F1&lt;/b&gt;</Text>
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			<Text>The Clock Stimulator tells the 
Classifier Trainer to estimate a
new classifier every 2s with all
the so-far accumulted data.</Text>
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					<Identifier>(0x7234b86b, 0x2b8651a5)</Identifier>
					<Value>560.000000</Value>
				</Attribute>
			</Attributes>
		</Comment>
		<Comment>
			<Identifier>(0x000050ff, 0x000054cc)</Identifier>
			<Text>The &lt;b&gt;lua stimulator&lt;/b&gt; generates a timeline 
specifying 4 seconds of data from each class,
the sources alternating during 48 sec. 

The stimuli in the timeline control stream switch, 
which routes the uniform random data to class-specific 
transformations.</Text>
			<Attributes>
				<Attribute>
					<Identifier>(0x473d9a43, 0x97fc0a97)</Identifier>
					<Value>784.000000</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0x7234b86b, 0x2b8651a5)</Identifier>
					<Value>304.000000</Value>
				</Attribute>
			</Attributes>
		</Comment>
		<Comment>
			<Identifier>(0x00005918, 0x00002cab)</Identifier>
			<Text>The classification accuracy is measured
by the &lt;b&gt;Confusion Matrix&lt;/b&gt; box.

When the classification is good,
the accuracies on the diagonal 
are the highest.

The 'No Target available' warning is normal, 
it means that in the scenario, the confusion
matrix gets some predictions from the classifier
before it has received the corresponding target 
from the lua chain. </Text>
			<Attributes>
				<Attribute>
					<Identifier>(0x473d9a43, 0x97fc0a97)</Identifier>
					<Value>752.000000</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0x7234b86b, 0x2b8651a5)</Identifier>
					<Value>800.000000</Value>
				</Attribute>
			</Attributes>
		</Comment>
		<Comment>
			<Identifier>(0x00006c3f, 0x000058d1)</Identifier>
			<Text>This is a test scenario illustrating 
basic incremental online learning.

Data is classified with the learned model, 
and the model is repeatedly updated during
the session.

Note that the classifier in principle
shouldn't be used with the data that
has been used for its estimation
(overfitting). Here when the 'reload model'
is received by the processor, the previous 
classifier has - verify - already processed 
all the features received so far.</Text>
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				<Attribute>
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					<Value>784.000000</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0x7234b86b, 0x2b8651a5)</Identifier>
					<Value>112.000000</Value>
				</Attribute>
			</Attributes>
		</Comment>
	</Comments>
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	</Metadata>
	<Attributes>
		<Attribute>
			<Identifier>(0x790d75b8, 0x3bb90c33)</Identifier>
			<Value>Jussi T. Lindgren</Value>
		</Attribute>
		<Attribute>
			<Identifier>(0x8c1fc55b, 0x7b433dc2)</Identifier>
			<Value>1.0</Value>
		</Attribute>
		<Attribute>
			<Identifier>(0x9f5c4075, 0x4a0d3666)</Identifier>
			<Value>Classification testing example</Value>
		</Attribute>
		<Attribute>
			<Identifier>(0xf36a1567, 0xd13c53da)</Identifier>
			<Value></Value>
		</Attribute>
		<Attribute>
			<Identifier>(0xf6b2e3fa, 0x7bd43926)</Identifier>
			<Value>box-tutorials</Value>
		</Attribute>
		<Attribute>
			<Identifier>(0xf8034a49, 0x8b3f37cc)</Identifier>
			<Value>Inria</Value>
		</Attribute>
	</Attributes>
</OpenViBE-Scenario>