DEVELOPMENT... OpenML
Run
120285

Run 120285

Task 3550 (Supervised Classification) analcatdata_asbestos Uploaded 10-12-2014 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)_I20
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
0.7864
Per class
Build CPU time
1.0572
Build memory
355127743.8072
F measure
0.7443
Per class
Kappa
0.4811
KB relative information score
40.6621
Mean absolute error
0.2527
Mean prior absolute error
0.4943
Number of instances
83
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7473
Per class
Predictive accuracy
0.747
Prior entropy
0.9919
Recall
0.747
Per class
Relative absolute error
0.5113
Root mean prior squared error
0.4971
Root mean squared error
0.4605
Root relative squared error
0.9265
SciMark benchmark
937.9603