Run
6060476

Run 6060476

Task 29 (Supervised Classification) credit-approval Uploaded 03-08-2017 by Miguel Cachada
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Flow

weka.AttributeSelectedClassifier_LWL_RandomForest(1)Weka implementation of AttributeSelectedClassifier
weka.RandomForest(12)_P100
weka.RandomForest(12)_I120
weka.RandomForest(12)_num-slots1
weka.RandomForest(12)_K0
weka.RandomForest(12)_M1.0
weka.RandomForest(12)_V0.001
weka.RandomForest(12)_S1
weka.RandomForest(12)_depth9
weka.LWL_RandomForest(4)_Atrue
weka.LWL_RandomForest(4)_K10
weka.LWL_RandomForest(4)_U0
weka.LWL_RandomForest(4)_Wweka.classifiers.trees.RandomForest
weka.AttributeSelectedClassifier_LWL_RandomForest(1)_Eweka.attributeSelection.CfsSubsetEval -P 1 -E 1
weka.AttributeSelectedClassifier_LWL_RandomForest(1)_Sweka.attributeSelection.GreedyStepwise -R -T -1.7976931348623157E308 -N -1 -num-slots 1
weka.AttributeSelectedClassifier_LWL_RandomForest(1)_Wweka.classifiers.lazy.LWL

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
0.8996
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.852
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6999
Cross-validation details (10-fold Crossvalidation)
KB relative information score
437.5576
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1864
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.494
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
0.852
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8522
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9913
Cross-validation details (10-fold Crossvalidation)
Recall
0.8522
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3773
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.497
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3477
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6996
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1528.3003
UserCPU time millis
2250
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
2250
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
Cross-validation details (10-fold Crossvalidation)