DEVELOPMENT... OpenML
Run
163865

Run 163865

Task 49 (Supervised Classification) 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
0.8539
Per class
F measure
0.756
Per class
Kappa
0.4479
KB relative information score
437.8993
Mean absolute error
0.2384
Mean prior absolute error
0.453
Number of instances
958
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7762
Per class
Predictive accuracy
0.7735
Prior entropy
0.9312
Recall
0.7735
Per class
Relative absolute error
0.5262
Root mean prior squared error
0.4759
Root mean squared error
0.4296
Root relative squared error
0.9028
SciMark benchmark
936.6206
UserCPU time millis
70
UserCPU time millis training
70