Run
575578

Run 575578

Task 15 (Supervised Classification) breast-w 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_DecisionStump(1)Weka implementation of AttributeSelectedClassifier
weka.AttributeSelectedClassifier_AdaBoostM1_DecisionStump(1)_Eweka.attributeSelection.CfsSubsetEval -P 1 -E 1
weka.AttributeSelectedClassifier_AdaBoostM1_DecisionStump(1)_Sweka.attributeSelection.BestFirst -D 1 -N 5
weka.AttributeSelectedClassifier_AdaBoostM1_DecisionStump(1)_Wweka.classifiers.meta.AdaBoostM1
weka.AdaBoostM1_DecisionStump(16)_P100
weka.AdaBoostM1_DecisionStump(16)_S1
weka.AdaBoostM1_DecisionStump(16)_I10
weka.AdaBoostM1_DecisionStump(16)_Wweka.classifiers.trees.DecisionStump

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
0.9891
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9513
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8919
Cross-validation details (10-fold Crossvalidation)
KB relative information score
605.6027
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0611
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.452
Cross-validation details (10-fold Crossvalidation)
Number of instances
699
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
0.9512
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9514
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9297
Cross-validation details (10-fold Crossvalidation)
Recall
0.9514
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1351
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4753
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1985
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4177
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1386.0573
UserCPU time millis
20
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
20
Cross-validation details (10-fold Crossvalidation)