Run
1761450

Run 1761450

Task 9909 (Supervised Classification) autoUniv-au1-1000 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
0.6849
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6378
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0171
Cross-validation details (10-fold Crossvalidation)
KB relative information score
42.1427
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3627
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3841
Cross-validation details (10-fold Crossvalidation)
Number of instances
1000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8097
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.744
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.826
Cross-validation details (10-fold Crossvalidation)
Recall
0.744
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9444
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4381
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4194
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9572
Cross-validation details (10-fold Crossvalidation)