Run
575951

Run 575951

Task 49 (Supervised Classification) tic-tac-toe 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_IBk(1)Weka implementation of AttributeSelectedClassifier
weka.IBk(7)_K1
weka.IBk(7)_W0
weka.IBk(7)_Atrue
weka.AttributeSelectedClassifier_AdaBoostM1_IBk(1)_Eweka.attributeSelection.CfsSubsetEval -P 1 -E 1
weka.AttributeSelectedClassifier_AdaBoostM1_IBk(1)_Sweka.attributeSelection.BestFirst -D 1 -N 5
weka.AttributeSelectedClassifier_AdaBoostM1_IBk(1)_Wweka.classifiers.meta.AdaBoostM1
weka.AdaBoostM1_IBk(5)_P100
weka.AdaBoostM1_IBk(5)_S1
weka.AdaBoostM1_IBk(5)_I10
weka.AdaBoostM1_IBk(5)_Wweka.classifiers.lazy.IBk

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
0.8698
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8019
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.561
Cross-validation details (10-fold Crossvalidation)
KB relative information score
436.4907
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2436
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.453
Cross-validation details (10-fold Crossvalidation)
Number of instances
958
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
0.8013
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8027
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9312
Cross-validation details (10-fold Crossvalidation)
Recall
0.8027
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5378
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4759
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3679
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.773
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1283.6013
UserCPU time millis
1200
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
390
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
810
Cross-validation details (10-fold Crossvalidation)