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Orange_MLs.ows
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<?xml version='1.0' encoding='utf-8'?>
<scheme version="2.0" title="" description="">
<nodes>
<node id="0" name="Data Table" qualified_name="Orange.widgets.data.owtable.OWTable" project_name="Orange3" version="" title="Extracted features and labels" position="(-446.95238095238096, 102.71428571428572)" />
<node id="1" name="File" qualified_name="Orange.widgets.data.owfile.OWFile" project_name="Orange3" version="" title="File" position="(-562.5281385281387, 106.28571428571428)" />
<node id="2" name="Data Sampler" qualified_name="Orange.widgets.data.owdatasampler.OWDataSampler" project_name="Orange3" version="" title="Split to test/train" position="(543.547619047619, 118.60714285714289)" />
<node id="3" name="Feature Statistics" qualified_name="Orange.widgets.data.owfeaturestatistics.OWFeatureStatistics" project_name="Orange3" version="" title="Feature Statistics" position="(-243.28571428571433, -29.285714285714306)" />
<node id="4" name="kNN" qualified_name="Orange.widgets.model.owknn.OWKNNLearner" project_name="Orange3" version="" title="kNN" position="(906.071428571429, -0.4880952380952017)" />
<node id="5" name="Gradient Boosting" qualified_name="Orange.widgets.model.owgradientboosting.OWGradientBoosting" project_name="Orange3" version="" title="Gradient Boosting" position="(911.452380952381, 392.0833333333336)" />
<node id="6" name="SVM" qualified_name="Orange.widgets.model.owsvm.OWSVM" project_name="Orange3" version="" title="SVM" position="(906.8809523809524, -271.91666666666674)" />
<node id="7" name="Neural Network" qualified_name="Orange.widgets.model.owneuralnetwork.OWNNLearner" project_name="Orange3" version="" title="Neural Network" position="(910.6190476190473, 129.76190476190476)" />
<node id="8" name="Random Forest" qualified_name="Orange.widgets.model.owrandomforest.OWRandomForest" project_name="Orange3" version="" title="Random Forest" position="(912.7380952380952, 213.41666666666652)" />
<node id="9" name="Test and Score" qualified_name="Orange.widgets.evaluate.owtestandscore.OWTestAndScore" project_name="Orange3" version="" title="Test and Score" position="(1319.1190476190477, 36.51190476190487)" />
<node id="10" name="Predictions" qualified_name="Orange.widgets.evaluate.owpredictions.OWPredictions" project_name="Orange3" version="" title="Predictions on labeled data" position="(1469.642857142857, 235.65476190476193)" />
<node id="11" name="Confusion Matrix" qualified_name="Orange.widgets.evaluate.owconfusionmatrix.OWConfusionMatrix" project_name="Orange3" version="" title="Confusion Matrix" position="(1507.2857142857151, -121.38095238095238)" />
<node id="12" name="Select Rows" qualified_name="Orange.widgets.data.owselectrows.OWSelectRows" project_name="Orange3" version="" title="Select Leviviruses" position="(-102.47619047619031, 101.19047619047609)" />
<node id="13" name="Select Rows" qualified_name="Orange.widgets.data.owselectrows.OWSelectRows" project_name="Orange3" version="" title="Select unlabeled data" position="(363.7532467532469, 124.07359307359303)" />
<node id="14" name="Data Sampler" qualified_name="Orange.widgets.data.owdatasampler.OWDataSampler" project_name="Orange3" version="" title="Downsample Levi" position="(50.928571428571416, 30.36904761904745)" />
<node id="15" name="Concatenate" qualified_name="Orange.widgets.data.owconcatenate.OWConcatenate" project_name="Orange3" version="" title="Concatenate" position="(211.0476190476191, 122.28571428571422)" />
<node id="16" name="Naive Bayes" qualified_name="Orange.widgets.model.ownaivebayes.OWNaiveBayes" project_name="Orange3" version="" title="Naive Bayes" position="(910.6666666666665, 301.0)" />
<node id="17" name="AdaBoost" qualified_name="Orange.widgets.model.owadaboost.OWAdaBoost" project_name="Orange3" version="" title="AdaBoost" position="(911.0000000000001, -183.33333333333334)" />
<node id="18" name="CN2 Rule Induction" qualified_name="Orange.widgets.model.owrules.OWRuleLearner" project_name="Orange3" version="" title="CN2 Rule Induction" position="(905.6666666666667, -92.33333333333334)" />
<node id="19" name="Select Rows" qualified_name="Orange.widgets.data.owselectrows.OWSelectRows" project_name="Orange3" version="" title="Remove Ribozy" position="(-256.4761904761903, 113.19047619047609)" />
<node id="20" name="Feature Importance" qualified_name="orangecontrib.explain.widgets.owpermutationimportance.OWPermutationImportance" project_name="Orange3-Explain" version="" title="Feature Importance" position="(1520.0, 34.0)" />
</nodes>
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<link id="4" source_node_id="4" sink_node_id="9" source_channel="Learner" sink_channel="Learner" enabled="true" source_channel_id="learner" sink_channel_id="learner" />
<link id="5" source_node_id="9" sink_node_id="11" source_channel="Evaluation Results" sink_channel="Evaluation Results" enabled="true" source_channel_id="evaluations_results" sink_channel_id="evaluation_results" />
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<link id="15" source_node_id="12" sink_node_id="15" source_channel="Unmatched Data" sink_channel="Primary Data" enabled="true" source_channel_id="unmatched_data" sink_channel_id="primary_data" />
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<link id="17" source_node_id="7" sink_node_id="9" source_channel="Learner" sink_channel="Learner" enabled="true" source_channel_id="learner" sink_channel_id="learner" />
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<link id="19" source_node_id="2" sink_node_id="9" source_channel="Data Sample" sink_channel="Data" enabled="true" source_channel_id="data_sample" sink_channel_id="train_data" />
<link id="20" source_node_id="2" sink_node_id="9" source_channel="Remaining Data" sink_channel="Test Data" enabled="true" source_channel_id="remaining_data" sink_channel_id="test_data" />
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<link id="22" source_node_id="16" sink_node_id="9" source_channel="Learner" sink_channel="Learner" enabled="true" source_channel_id="learner" sink_channel_id="learner" />
<link id="23" source_node_id="2" sink_node_id="17" source_channel="Data Sample" sink_channel="Data" enabled="true" source_channel_id="data_sample" sink_channel_id="data" />
<link id="24" source_node_id="17" sink_node_id="9" source_channel="Learner" sink_channel="Learner" enabled="true" source_channel_id="learner" sink_channel_id="learner" />
<link id="25" source_node_id="2" sink_node_id="18" source_channel="Data Sample" sink_channel="Data" enabled="true" source_channel_id="data_sample" sink_channel_id="data" />
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<link id="28" source_node_id="19" sink_node_id="12" source_channel="Matching Data" sink_channel="Data" enabled="true" source_channel_id="matching_data" sink_channel_id="data" />
<link id="29" source_node_id="9" sink_node_id="20" source_channel="Predictions" sink_channel="Data" enabled="true" source_channel_id="predictions" sink_channel_id="data" />
</links>
<annotations />
<thumbnail />
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