 | Run 8124 |
| Creator | internal |
| Program | Naive Bayes - Eugene Ma |
| Dataset | thyroid-allbp |
| Task type | MulticlassClassification |
| Created | 1y121d ago |
| Download | Login required! |
Done! 
| 2s | |
| 420M | |
| MulticlassClassification | |
| 0.050 | |
| 0.041 | |
Log file
===== MAIN: learn based on training data ===== === START program1: ./run learn ../dataset2/train Learned model saved to "learnedModel.ser". === END program1: ./run learn ../dataset2/train --- OK [1s] ===== MAIN: predict/evaluate on train data ===== === START program3: ./run stripLabels ../dataset2/train ../program0/evalTrain.in === END program3: ./run stripLabels ../dataset2/train ../program0/evalTrain.in --- OK [1s] === START program1: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out "learnedModel.ser" loaded. Hyperparameter value: 0.0 0 of 2800 predicted correctly (0.000000). === END program1: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out --- OK [2s] === START program4: ./run evaluate ../dataset2/train ../program0/evalTrain.out === END program4: ./run evaluate ../dataset2/train ../program0/evalTrain.out --- OK [0s] ===== MAIN: predict/evaluate on test data ===== === START program3: ./run stripLabels ../dataset2/test ../program0/evalTest.in === END program3: ./run stripLabels ../dataset2/test ../program0/evalTest.in --- OK [0s] === START program1: ./run predict ../program0/evalTest.in ../program0/evalTest.out "learnedModel.ser" loaded. Hyperparameter value: 0.0 0 of 972 predicted correctly (0.000000). === END program1: ./run predict ../program0/evalTest.in ../program0/evalTest.out --- OK [2s] === START program4: ./run evaluate ../dataset2/test ../program0/evalTest.out === END program4: ./run evaluate ../dataset2/test ../program0/evalTest.out --- OK [0s] real 0m6.961s user 0m2.260s sys 0m0.200s
Run specification 
Results
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