Run
10

Run 10

Task 68 (Learning Curve) autos Uploaded 06-04-2014 by Jan van Rijn
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Flow

weka.AdaBoostM1_DecisionStump(1)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_DecisionStump(1)_I10
weka.AdaBoostM1_DecisionStump(1)_P100
weka.AdaBoostM1_DecisionStump(1)_S1
weka.AdaBoostM1_DecisionStump(1)_Wweka.classifiers.trees.DecisionStump

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

17 Evaluation measures

Area under ROC curve
0.6462 ± 0.0514
Per class
Kappa
0.2137 ± 0.09
KB relative information score
0.2429 ± 0.025
Mean absolute error
0.1948 ± 0.0061
Mean prior absolute error
0.2209 ± 0.0014
Number of instances
2050
Per class
OS information
[ Oracle Corporation, 1.7.0_51, amd64, Linux, 3.7.10-1.28-desktop ]
Predictive accuracy
0.4488 ± 0.065
Prior entropy
2.2802 ± 0.0732
Recall
0.4488 ± 0.065
Per class
Relative absolute error
0.882 ± 0.0268
Root mean prior squared error
0.3318 ± 0.0021
Root mean squared error
0.315 ± 0.0118
Root relative squared error
0.9496 ± 0.0347
SciMark benchmark
1968.4642