Run
578476

Run 578476

Task 11 (Supervised Classification) balance-scale Uploaded 03-06-2016 by Jan van Rijn
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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.

22 Evaluation measures

Area under ROC curve
0.9165
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8027
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6973
Cross-validation details (10-fold Crossvalidation)
KB relative information score
158.2003
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2946
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3798
Cross-validation details (10-fold Crossvalidation)
Number of instances
625
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_91, amd64, Linux, 3.10.0-327.13.1.el7.x86_64]
Precision
0.7719
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8368
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.3212
Cross-validation details (10-fold Crossvalidation)
Recall
0.8368
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7757
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4356
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3518
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8077
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1328.7463
UserCPU time millis
20
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
10
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
10
Cross-validation details (10-fold Crossvalidation)