Run
1942777

Run 1942777

Task 3951 (Supervised Classification) desharnais Uploaded 02-04-2017 by Yezi Zhu
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Flow

weka.RandomForest(12)Leo Breiman (2001). Random Forests. Machine Learning. 45(1):5-32.
weka.RandomForest(12)_P100
weka.RandomForest(12)_I10
weka.RandomForest(12)_num-slots1
weka.RandomForest(12)_K0
weka.RandomForest(12)_M1.0
weka.RandomForest(12)_V0.001
weka.RandomForest(12)_S1
weka.RandomForest(12)_depth100
weka.RandomForest(12)_num-decimal-places10

Result files

xml
Description

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

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

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

17 Evaluation measures

Area under ROC curve
0.8229
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.716
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4927
Cross-validation details (10-fold Crossvalidation)
KB relative information score
30.0769
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2617
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3804
Cross-validation details (10-fold Crossvalidation)
Number of instances
81
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.718
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7284
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.3765
Cross-validation details (10-fold Crossvalidation)
Recall
0.7284
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6881
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4348
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.366
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8419
Cross-validation details (10-fold Crossvalidation)