Run
9199680

Run 9199680

Task 1748 (Learning Curve) tic-tac-toe Uploaded 01-05-2018 by Christo Alexander
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Flow

weka.AdaBoostM1(4)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1(4)_P100
weka.AdaBoostM1(4)_S1
weka.AdaBoostM1(4)_I10
weka.AdaBoostM1(4)_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
0.7998 ± 0.0422
Per class
F measure
0.7092 ± 0.04
Per class
Kappa
0.3422 ± 0.0898
KB relative information score
250.7788 ± 5.212
Mean absolute error
0.3351 ± 0.0208
Mean prior absolute error
0.453 ± 0.0013
Number of instances
958
Per class
OS information
['Oracle Corporation', '1.8.0_162', 'amd64', 'Linux', '4.13.0-38-generic']
Precision
0.718 ± 0.0443
Per class
Predictive accuracy
0.7276 ± 0.0373
Prior entropy
0.9312
Recall
0.7276 ± 0.0373
Per class
Relative absolute error
0.7398 ± 0.0452
Root mean prior squared error
0.4759 ± 0.0014
Root mean squared error
0.412 ± 0.021
Root relative squared error
0.8659 ± 0.0436
SciMark benchmark
1843.9164
UserCPU time millis
10
UserCPU time millis training
10