Run
576225

Run 576225

Task 58 (Supervised Classification) waveform-5000 Uploaded 01-06-2016 by Jan van Rijn
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.AttributeSelectedClassifier_AdaBoostM1_REPTree(1)Weka implementation of AttributeSelectedClassifier
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.AttributeSelectedClassifier_AdaBoostM1_REPTree(1)_Eweka.attributeSelection.CfsSubsetEval -P 1 -E 1
weka.AttributeSelectedClassifier_AdaBoostM1_REPTree(1)_Sweka.attributeSelection.BestFirst -D 1 -N 5
weka.AttributeSelectedClassifier_AdaBoostM1_REPTree(1)_Wweka.classifiers.meta.AdaBoostM1
weka.AdaBoostM1_REPTree(11)_P100
weka.AdaBoostM1_REPTree(11)_S1
weka.AdaBoostM1_REPTree(11)_I10
weka.AdaBoostM1_REPTree(11)_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
0.946
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8205
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7309
Cross-validation details (10-fold Crossvalidation)
KB relative information score
3720.3168
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1274
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4444
Cross-validation details (10-fold Crossvalidation)
Number of instances
5000
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
0.8205
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8206
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.5849
Cross-validation details (10-fold Crossvalidation)
Recall
0.8206
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2866
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4714
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3162
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6709
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1362.5752
UserCPU time millis
1190
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
10
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
1180
Cross-validation details (10-fold Crossvalidation)