DEVELOPMENT... OpenML
Run
121420

Run 121420

Task 3587 (Supervised Classification) pwLinear 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)_I80
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
0.8813
Per class
Build CPU time
7.0564
Build memory
2930793852.8
F measure
0.875
Per class
Kappa
0.7497
KB relative information score
150.1789
Mean absolute error
0.1243
Mean prior absolute error
0.4996
Number of instances
200
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.875
Per class
Predictive accuracy
0.875
Prior entropy
0.9994
Recall
0.875
Per class
Relative absolute error
0.2488
Root mean prior squared error
0.4998
Root mean squared error
0.3507
Root relative squared error
0.7017
SciMark benchmark
924.2473