DEVELOPMENT... OpenML
Run
122747

Run 122747

Task 3887 (Supervised Classification) analcatdata_germangss 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
0.9251
Per class
Build CPU time
21.9519
Build memory
593100186.4
F measure
0.9203
Per class
Kappa
0.7724
KB relative information score
293.4254
Mean absolute error
0.0809
Mean prior absolute error
0.3495
Number of instances
400
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9207
Per class
Predictive accuracy
0.92
Prior entropy
0.7716
Recall
0.92
Per class
Relative absolute error
0.2314
Root mean prior squared error
0.4176
Root mean squared error
0.2771
Root relative squared error
0.6635
SciMark benchmark
931.9671