OpenML
277222

Run 277222

Task 3643 (Supervised Classification) sleuth_ex1714 Uploaded 07-03-2015 by Joaquin Vanschoren
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Flow

weka.RandomSubSpace_REPTree(4)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(9)_M2
weka.REPTree(9)_V0.001
weka.REPTree(9)_N3
weka.REPTree(9)_S1
weka.REPTree(9)_L-1
weka.REPTree(9)_I0.0
weka.RandomSubSpace_REPTree(4)_P0.5
weka.RandomSubSpace_REPTree(4)_S1
weka.RandomSubSpace_REPTree(4)_num-slots1
weka.RandomSubSpace_REPTree(4)_I80
weka.RandomSubSpace_REPTree(4)_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
0.9185
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8519
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7012
Cross-validation details (10-fold Crossvalidation)
KB relative information score
22.8115
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2706
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4894
Cross-validation details (10-fold Crossvalidation)
Number of instances
47
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8596
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8511
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9852
Cross-validation details (10-fold Crossvalidation)
Recall
0.8511
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.553
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4944
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3401
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6879
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1350.4702
UserCPU time millis
20
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
10
UserCPU time millis training
10
Cross-validation details (10-fold Crossvalidation)