Run
2844

Run 2844

Task 99 (Learning Curve) glass Uploaded 28-04-2014 by Jan van Rijn
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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
0.6593 ± 0.0398
Per class
Kappa
0.24 ± 0.0428
KB relative information score
0.283 ± 0.0292
Mean absolute error
0.1825 ± 0.0044
Mean prior absolute error
0.2116 ± 0.0025
Number of instances
2140
Per class
OS information
[ Oracle Corporation, 1.7.0_15, amd64, Linux, 3.5.0-27-generic ]
Predictive accuracy
0.4477 ± 0.032
Prior entropy
2.1835 ± 0.0748
Recall
0.4477 ± 0.032
Per class
Relative absolute error
0.8628 ± 0.0189
Root mean prior squared error
0.3244 ± 0.0039
Root mean squared error
0.3029 ± 0.0078
Root relative squared error
0.9337 ± 0.0223
SciMark benchmark
859.2924