Run
428717

Run 428717

Task 1813 (Supervised Classification) tic-tac-toe Uploaded 09-05-2015 by Joaquin Vanschoren
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Flow

weka.RealAdaBoost_DecisionStump(2)J. Friedman, T. Hastie, R. Tibshirani (2000). Additive Logistic Regression: a Statistical View of Boosting. Annals of Statistics. 95(2):337-407.
weka.RealAdaBoost_DecisionStump(2)_P100
weka.RealAdaBoost_DecisionStump(2)_H1.0
weka.RealAdaBoost_DecisionStump(2)_S1
weka.RealAdaBoost_DecisionStump(2)_I160
weka.RealAdaBoost_DecisionStump(2)_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
0.7858
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
F measure
0.706
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Kappa
0.3359
Cross-validation details (5 times 2-fold Crossvalidation)
KB relative information score
1180.7386
Cross-validation details (5 times 2-fold Crossvalidation)
Mean absolute error
0.3416
Cross-validation details (5 times 2-fold Crossvalidation)
Mean prior absolute error
0.453
Cross-validation details (5 times 2-fold Crossvalidation)
Number of instances
4790
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7087
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Predictive accuracy
0.72
Cross-validation details (5 times 2-fold Crossvalidation)
Prior entropy
0.9312
Cross-validation details (5 times 2-fold Crossvalidation)
Recall
0.72
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Relative absolute error
0.7542
Cross-validation details (5 times 2-fold Crossvalidation)
Root mean prior squared error
0.4759
Cross-validation details (5 times 2-fold Crossvalidation)
Root mean squared error
0.417
Cross-validation details (5 times 2-fold Crossvalidation)
Root relative squared error
0.8763
Cross-validation details (5 times 2-fold Crossvalidation)
SciMark benchmark
926.5859
UserCPU time millis
10
Cross-validation details (5 times 2-fold Crossvalidation)
UserCPU time millis training
10
Cross-validation details (5 times 2-fold Crossvalidation)