DEVELOPMENT... OpenML
Run
122236

Run 122236

Task 3913 (Supervised Classification) kc2 Uploaded 14-12-2014 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
0.7207
Per class
Build CPU time
10.9007
Build memory
56162546.59
F measure
0.8115
Per class
Kappa
0.3917
KB relative information score
175.6706
Mean absolute error
0.1903
Mean prior absolute error
0.3266
Number of instances
522
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8077
Per class
Predictive accuracy
0.8238
Prior entropy
0.734
Recall
0.8238
Per class
Relative absolute error
0.5827
Root mean prior squared error
0.4037
Root mean squared error
0.3989
Root relative squared error
0.9881
SciMark benchmark
943.5504