Run
1351

Run 1351

Task 1717 (Learning Curve) mfeat-morphological Uploaded 17-04-2014 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
0.7581 ± 0.003
Per class
Kappa
0.1106 ± 0.0018
KB relative information score
0.2861 ± 0.0017
Mean absolute error
0.1606 ± 0.0002
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[ Sun Microsystems Inc., 1.6.0_30, amd64, Linux, 2.6.32-358.6.2.el6.x86_64 ]
Predictive accuracy
0.1995 ± 0.0016
Prior entropy
3.3219
Recall
0.1995 ± 0.0016
Per class
Relative absolute error
0.8923 ± 0.0011
Root mean prior squared error
0.3
Root mean squared error
0.2834 ± 0.0003
Root relative squared error
0.9446 ± 0.0012
SciMark benchmark
1174.2561