Run
2335971

Run 2335971

Task 29 (Supervised Classification) credit-approval Uploaded 24-05-2017 by Miguel Cachada
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.AttributeSelectedClassifier_RandomForest(2)Weka implementation of AttributeSelectedClassifier
weka.RandomForest(12)_P80
weka.RandomForest(12)_I100
weka.RandomForest(12)_num-slots1
weka.RandomForest(12)_K250
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 ± 0.044
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8437 ± 0.0456
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6841 ± 0.0916
Cross-validation details (10-fold Crossvalidation)
KB relative information score
416.1961 ± 4.7986
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2044 ± 0.0322
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
0.8443 ± 0.0451
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8435 ± 0.0457
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9913
Cross-validation details (10-fold Crossvalidation)
Recall
0.8435 ± 0.0457
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4138 ± 0.0651
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
0.3436 ± 0.0508
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6915 ± 0.1023
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1821.8043
UserCPU time millis
110
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
10
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
100
Cross-validation details (10-fold Crossvalidation)