Run
61952

Run 61952

Task 1723 (Learning Curve) mushroom Uploaded 16-11-2014 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.AdaBoostM1_DecisionStump(2)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(2)_I10
weka.AdaBoostM1_DecisionStump(2)_P100
weka.AdaBoostM1_DecisionStump(2)_S1
weka.AdaBoostM1_DecisionStump(2)_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.

21 Evaluation measures

Area under ROC curve
0.9953 ± 0.003
Per class
Build CPU time
0.0318
Build memory
1883984466.8267
F measure
0.9647 ± 0.0106
Per class
Kappa
0.9293 ± 0.0212
KB relative information score
0.8933 ± 0.0161
Mean absolute error
0.0585 ± 0.0078
Mean prior absolute error
0.4994 ± 0
Number of instances
8124
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.965 ± 0.0104
Per class
Predictive accuracy
0.9647 ± 0.0106
Prior entropy
0.9991 ± 0.0001
Recall
0.9647 ± 0.0106
Per class
Relative absolute error
0.1171 ± 0.0156
Root mean prior squared error
0.4997 ± 0
Root mean squared error
0.1596 ± 0.0178
Root relative squared error
0.3195 ± 0.0357
SciMark benchmark
1559.5381