DEVELOPMENT... OpenML
Run
121102

Run 121102

Task 3887 (Supervised Classification) analcatdata_germangss Uploaded 11-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_LMT(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_LMT(2)_I40
weka.AdaBoostM1_LMT(2)_P100
weka.AdaBoostM1_LMT(2)_S1
weka.AdaBoostM1_LMT(2)_Wweka.classifiers.trees.LMT
weka.LMT(2)_I-1
weka.LMT(2)_M15
weka.LMT(2)_W0.0

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
0.9126
Per class
Build CPU time
9.5138
Build memory
128158060
F measure
0.922
Per class
Kappa
0.7751
KB relative information score
299.6869
Mean absolute error
0.0762
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
0.9217
Per class
Predictive accuracy
0.9225
Prior entropy
0.7716
Recall
0.9225
Per class
Relative absolute error
0.2179
Root mean prior squared error
0.4176
Root mean squared error
0.2724
Root relative squared error
0.6523
SciMark benchmark
939.0159