DEVELOPMENT... OpenML
Run
122226

Run 122226

Task 3877 (Supervised Classification) analcatdata_dmft Uploaded 13-12-2014 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)_I160
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
0.48
Per class
Build CPU time
11.3789
Build memory
1582032717.2597
F measure
0.6971
Per class
Kappa
-0.0579
KB relative information score
-180.8226
Mean absolute error
0.3203
Mean prior absolute error
0.3138
Number of instances
797
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6636
Per class
Predictive accuracy
0.7415
Prior entropy
0.7123
Recall
0.7415
Per class
Relative absolute error
1.0209
Root mean prior squared error
0.3958
Root mean squared error
0.46
Root relative squared error
1.1622
SciMark benchmark
942.0692