Run
578517

Run 578517

Task 7287 (Supervised Classification) adult Uploaded 03-06-2016 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.

22 Evaluation measures

Area under ROC curve
0.9049
Per class
Cross-validation details (10-fold Crossvalidation)
Average cost
0.0754
Cross-validation details (10-fold Crossvalidation)
F measure
0.8385
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5349
Cross-validation details (10-fold Crossvalidation)
KB relative information score
16652.4271
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2352
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3641
Cross-validation details (10-fold Crossvalidation)
Number of instances
48842
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
0.8422
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8492
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.7939
Cross-validation details (10-fold Crossvalidation)
Recall
0.8492
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6462
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4266
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3254
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7626
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1356.8067
Total cost
3681.5
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
3150
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
240
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
2910
Cross-validation details (10-fold Crossvalidation)