Run
1849142

Run 1849142

Task 59 (Supervised Classification) iris Uploaded 08-03-2017 by Jeroen van Hoof
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  • flows.AutoSklearnFLow.AutoSklearnFlow NumPy_1.11.2. Python_3.5.2. run_task SciPy_0.18.1. Sklearn_0.18.1. Wed_Mar__8_19.56.16_2017
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Flow

flows.AutoSklearnFLow.AutoSklearnFlow(2)Automatically created sub-component.

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

17 Evaluation measures

Area under ROC curve
0.9842
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.98
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.97
Cross-validation details (10-fold Crossvalidation)
KB relative information score
118.8308
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1321
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4444
Cross-validation details (10-fold Crossvalidation)
Number of instances
150
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9811
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.98
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.585
Cross-validation details (10-fold Crossvalidation)
Recall
0.98
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2971
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4714
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1658
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3518
Cross-validation details (10-fold Crossvalidation)