Run
1672854

Run 1672854

Task 2079 (Supervised Classification) eucalyptus Uploaded 21-07-2016 by Jan van Rijn
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Flow

weka.Bagging_RandomForest(9)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.RandomForest(9)_I100
weka.RandomForest(9)_K0
weka.RandomForest(9)_S1
weka.RandomForest(9)_num-slots1
weka.Bagging_RandomForest(9)_P100
weka.Bagging_RandomForest(9)_S1
weka.Bagging_RandomForest(9)_num-slots1
weka.Bagging_RandomForest(9)_I10
weka.Bagging_RandomForest(9)_Wweka.classifiers.trees.RandomForest

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
0.8662
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5746
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4564
Cross-validation details (10-fold Crossvalidation)
KB relative information score
326.7358
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2097
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3132
Cross-validation details (10-fold Crossvalidation)
Number of instances
736
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.5779
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5802
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.2629
Cross-validation details (10-fold Crossvalidation)
Recall
0.5802
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6696
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3957
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3229
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.816
Cross-validation details (10-fold Crossvalidation)