Run
59604

Run 59604

Task 1748 (Learning Curve) tic-tac-toe Uploaded 15-11-2014 by Joaquin Vanschoren
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Flow

weka.MultiBoostAB_IBk(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.IBk(2)_Atrue
weka.IBk(2)_K1
weka.IBk(2)_W0
weka.MultiBoostAB_IBk(2)_C3
weka.MultiBoostAB_IBk(2)_P100
weka.MultiBoostAB_IBk(2)_S1
weka.MultiBoostAB_IBk(2)_I10
weka.MultiBoostAB_IBk(2)_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.

21 Evaluation measures

Area under ROC curve
0.9994 ± 0.0006
Per class
Build CPU time
0.0202
Build memory
1222037007.7333
F measure
0.9885 ± 0.0127
Per class
Kappa
0.9744 ± 0.0283
KB relative information score
0.6454 ± 0.0259
Mean absolute error
0.1919 ± 0.0127
Mean prior absolute error
0.453 ± 0.0013
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
0.9887 ± 0.012
Per class
Predictive accuracy
0.9885 ± 0.0125
Prior entropy
0.931 ± 0.0039
Recall
0.9885 ± 0.0125
Per class
Relative absolute error
0.4236 ± 0.0274
Root mean prior squared error
0.4759 ± 0.0014
Root mean squared error
0.2335 ± 0.0129
Root relative squared error
0.4907 ± 0.0264
SciMark benchmark
947.0414