DEVELOPMENT... OpenML
Run
163902

Run 163902

Task 206 (Supervised Classification) BNG(tic-tac-toe) Uploaded 16-02-2015 by Felicia West
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Flow

weka.MultiBoostAB_DecisionStump(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_DecisionStump(2)_C3
weka.MultiBoostAB_DecisionStump(2)_I80
weka.MultiBoostAB_DecisionStump(2)_P100
weka.MultiBoostAB_DecisionStump(2)_S1
weka.MultiBoostAB_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
0.7579
Per class
F measure
0.7154
Per class
Kappa
0.3607
KB relative information score
13671.39
Mean absolute error
0.2868
Mean prior absolute error
0.4532
Number of instances
39366
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7146
Per class
Predictive accuracy
0.7238
Prior entropy
0.9315
Recall
0.7238
Per class
Relative absolute error
0.6328
Root mean prior squared error
0.476
Root mean squared error
0.4732
Root relative squared error
0.9939
SciMark benchmark
934.5243
UserCPU time millis
4420
UserCPU time millis testing
190
UserCPU time millis training
4230