Run
64982

Run 64982

Task 1748 (Learning Curve) tic-tac-toe Uploaded 19-11-2014 by Jan van Rijn
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.MultiBoostAB_LWL_DecisionStump(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.LWL_DecisionStump(2)_Atrue
weka.LWL_DecisionStump(2)_K-1
weka.LWL_DecisionStump(2)_U0
weka.LWL_DecisionStump(2)_Wweka.classifiers.trees.DecisionStump
weka.MultiBoostAB_LWL_DecisionStump(2)_C3
weka.MultiBoostAB_LWL_DecisionStump(2)_P100
weka.MultiBoostAB_LWL_DecisionStump(2)_S1
weka.MultiBoostAB_LWL_DecisionStump(2)_I10
weka.MultiBoostAB_LWL_DecisionStump(2)_Wweka.classifiers.lazy.LWL

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
0.8382 ± 0.0675
Per class
Build CPU time
1.5285
Build memory
3157446939.2889
F measure
0.7388 ± 0.0604
Per class
Kappa
0.4208 ± 0.1319
KB relative information score
0.4078 ± 0.1345
Mean absolute error
0.2582 ± 0.0574
Mean prior absolute error
0.453 ± 0.0013
Number of instances
958
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Precision
0.7378 ± 0.0616
Per class
Predictive accuracy
0.7401 ± 0.0619
Prior entropy
0.931 ± 0.0039
Recall
0.7401 ± 0.0619
Per class
Relative absolute error
0.5699 ± 0.1265
Root mean prior squared error
0.4759 ± 0.0014
Root mean squared error
0.4436 ± 0.0624
Root relative squared error
0.9323 ± 0.1309
SciMark benchmark
1885.6155