Run
2358364

Run 2358364

Task 6 (Supervised Classification) letter Uploaded 30-05-2017 by Miguel Cachada
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Flow

weka.MultiBoostAB_JRip(4)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.JRip(7)_F3
weka.JRip(7)_N2.0
weka.JRip(7)_O2
weka.JRip(7)_S1
weka.MultiBoostAB_JRip(4)_C3
weka.MultiBoostAB_JRip(4)_P100
weka.MultiBoostAB_JRip(4)_S1
weka.MultiBoostAB_JRip(4)_I10
weka.MultiBoostAB_JRip(4)_Wweka.classifiers.rules.JRip

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
0.9966 ± 0.0006
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9437 ± 0.0051
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9413 ± 0.0053
Cross-validation details (10-fold Crossvalidation)
KB relative information score
18997.6456 ± 8.7665
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0044 ± 0.0004
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.074 ± 0
Cross-validation details (10-fold Crossvalidation)
Number of instances
20000
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
['Oracle Corporation', '1.8.0_131', 'amd64', 'Linux', '4.8.0-51-generic']
Precision
0.9439 ± 0.005
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9436 ± 0.0051
Cross-validation details (10-fold Crossvalidation)
Prior entropy
4.6998
Cross-validation details (10-fold Crossvalidation)
Recall
0.9436 ± 0.0051
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0601 ± 0.0048
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1923 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0602 ± 0.0028
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3128 ± 0.0145
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1662.5266
UserCPU time millis
430660
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
1420
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
429240
Cross-validation details (10-fold Crossvalidation)