DEVELOPMENT... OpenML
Run
122739

Run 122739

Task 3876 (Supervised Classification) analcatdata_challenger Uploaded 15-12-2014 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
0.6426
Per class
Build CPU time
2.4923
Build memory
1864421674.1449
F measure
0.9033
Per class
KB relative information score
-110.9168
Mean absolute error
0.1185
Mean prior absolute error
0.1273
Number of instances
138
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8738
Per class
Predictive accuracy
0.9348
Prior entropy
0.3712
Recall
0.9348
Per class
Relative absolute error
0.9308
Root mean prior squared error
0.247
Root mean squared error
0.2632
Root relative squared error
1.0655
SciMark benchmark
874.7324