Run
8580

Run 8580

Task 36 (Supervised Classification) segment Uploaded 22-05-2014 by Joaquin Vanschoren
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Flow

weka.RandomSubSpace_REPTree(1)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(1)_I0.0
weka.REPTree(1)_L-1
weka.REPTree(1)_M2
weka.REPTree(1)_N3
weka.REPTree(1)_S1
weka.REPTree(1)_V0.001
weka.RandomSubSpace_REPTree(1)_I10
weka.RandomSubSpace_REPTree(1)_P0.5
weka.RandomSubSpace_REPTree(1)_S1
weka.RandomSubSpace_REPTree(1)_Wweka.classifiers.trees.REPTree
weka.RandomSubSpace_REPTree(1)_num-slots1

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
0.9976
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9637
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9576
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2141.1101
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0306
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2449
Cross-validation details (10-fold Crossvalidation)
Number of instances
2310
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.964
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9636
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.8074
Cross-validation details (10-fold Crossvalidation)
Recall
0.9636
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1249
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3499
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0993
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.2837
Cross-validation details (10-fold Crossvalidation)