DEVELOPMENT... OpenML
Run
162407

Run 162407

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)_I20
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
0.798
Per class
F measure
0.6874
Per class
Kappa
0.2954
KB relative information score
316.41
Mean absolute error
0.2894
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
0.6865
Per class
Predictive accuracy
0.6994
Prior entropy
0.9312
Recall
0.6994
Per class
Relative absolute error
0.6388
Root mean prior squared error
0.4759
Root mean squared error
0.4818
Root relative squared error
1.0124
SciMark benchmark
939.7623
UserCPU time millis
20
UserCPU time millis testing
10
UserCPU time millis training
10