DEVELOPMENT... OpenML
Run
121483

Run 121483

Task 3653 (Supervised Classification) triazines 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
0.8188
Per class
Build CPU time
11.685
Build memory
117511420.4301
F measure
0.7452
Per class
Kappa
0.4722
KB relative information score
91.9816
Mean absolute error
0.241
Mean prior absolute error
0.4854
Number of instances
186
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7453
Per class
Predictive accuracy
0.7473
Prior entropy
0.979
Recall
0.7473
Per class
Relative absolute error
0.4965
Root mean prior squared error
0.4925
Root mean squared error
0.473
Root relative squared error
0.9603
SciMark benchmark
899.4388