Run
1761452

Run 1761452

Task 9908 (Supervised Classification) autoUniv-au4-2500 Uploaded 24-07-2016 by Jan van Rijn
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Flow

weka.RandomSubSpace_REPTree(6)Tin Kam Ho (1998). The Random Subspace Method for Constructing Decision Forests. IEEE Transactions on Pattern Analysis and Machine Intelligence. 20(8):832-844. URL http://citeseer.ist.psu.edu/ho98random.html.
weka.REPTree(15)_M2
weka.REPTree(15)_V0.001
weka.REPTree(15)_N3
weka.REPTree(15)_S1
weka.REPTree(15)_L-1
weka.REPTree(15)_I0.0
weka.RandomSubSpace_REPTree(6)_P0.5
weka.RandomSubSpace_REPTree(6)_S1
weka.RandomSubSpace_REPTree(6)_num-slots1
weka.RandomSubSpace_REPTree(6)_I10
weka.RandomSubSpace_REPTree(6)_Wweka.classifiers.trees.REPTree

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
0.7231
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6015
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.308
Cross-validation details (10-fold Crossvalidation)
KB relative information score
270.7972
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3491
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3794
Cross-validation details (10-fold Crossvalidation)
Number of instances
2500
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.5783
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6272
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.3187
Cross-validation details (10-fold Crossvalidation)
Recall
0.6272
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9201
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4355
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4094
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.94
Cross-validation details (10-fold Crossvalidation)