Run
2335133

Run 2335133

Task 29 (Supervised Classification) credit-approval Uploaded 23-05-2017 by Miguel Cachada
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Flow

weka.AttributeSelectedClassifier_RandomForest(2)Weka implementation of AttributeSelectedClassifier
weka.RandomForest(12)_P100
weka.RandomForest(12)_I100
weka.RandomForest(12)_num-slots1
weka.RandomForest(12)_K0
weka.RandomForest(12)_M1.0
weka.RandomForest(12)_V0.001
weka.RandomForest(12)_S1
weka.AttributeSelectedClassifier_RandomForest(2)_Eweka.attributeSelection.CfsSubsetEval -P 1 -E 1
weka.AttributeSelectedClassifier_RandomForest(2)_Sweka.attributeSelection.BestFirst -D 1 -N 5
weka.AttributeSelectedClassifier_RandomForest(2)_Wweka.classifiers.trees.RandomForest

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
0.9086 ± 0.0442
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8422 ± 0.0423
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6809 ± 0.0847
Cross-validation details (10-fold Crossvalidation)
KB relative information score
409.9799 ± 4.6881
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.211 ± 0.0314
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.494 ± 0.0008
Cross-validation details (10-fold Crossvalidation)
Number of instances
690
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
['Oracle Corporation', '1.8.0_131', 'amd64', 'Linux', '4.8.0-51-generic']
Precision
0.8425 ± 0.0422
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.842 ± 0.0424
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9913
Cross-validation details (10-fold Crossvalidation)
Recall
0.842 ± 0.0424
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4272 ± 0.0636
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.497 ± 0.0008
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3401 ± 0.049
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6843 ± 0.0986
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1439.7946
UserCPU time millis
100
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
10
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
90
Cross-validation details (10-fold Crossvalidation)