DEVELOPMENT... OpenML
Run
122393

Run 122393

Task 2067 (Supervised Classification) solar-flare Uploaded 14-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_LWL_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_LWL_DecisionStump(2)_I160
weka.AdaBoostM1_LWL_DecisionStump(2)_P100
weka.AdaBoostM1_LWL_DecisionStump(2)_S1
weka.AdaBoostM1_LWL_DecisionStump(2)_Wweka.classifiers.lazy.LWL
weka.LWL_DecisionStump(2)_Atrue
weka.LWL_DecisionStump(2)_K-1
weka.LWL_DecisionStump(2)_U0
weka.LWL_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
0.5461
Per class
Build CPU time
22.2381
Build memory
512429452.7059
F measure
0.9645
Per class
Kappa
-0.0097
KB relative information score
-42.2922
Mean absolute error
0.0299
Mean prior absolute error
0.0452
Number of instances
323
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.957
Per class
Predictive accuracy
0.9721
Prior entropy
0.1666
Recall
0.9721
Per class
Relative absolute error
0.6616
Root mean prior squared error
0.1456
Root mean squared error
0.1689
Root relative squared error
1.1599
SciMark benchmark
944.2203