DEVELOPMENT... OpenML
Run
120815

Run 120815

Task 3501 (Supervised Classification) white-clover 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)_I40
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
0.7866
Per class
Build CPU time
3.0303
Build memory
782330674.2857
F measure
0.7111
Per class
Kappa
0.4623
KB relative information score
27.6441
Mean absolute error
0.1418
Mean prior absolute error
0.2721
Number of instances
63
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7134
Per class
Predictive accuracy
0.7143
Prior entropy
1.4097
Recall
0.7143
Per class
Relative absolute error
0.521
Root mean prior squared error
0.3647
Root mean squared error
0.3715
Root relative squared error
1.0187
SciMark benchmark
927.3354