DEVELOPMENT... OpenML
Run
119912

Run 119912

Task 3795 (Supervised Classification) fri_c4_100_50 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)_I10
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
0.4594
Per class
Build CPU time
1.3567
Build memory
41970925.6
F measure
0.4918
Per class
Kappa
-0.0225
KB relative information score
-6.7287
Mean absolute error
0.5219
Mean prior absolute error
0.4929
Number of instances
100
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.496
Per class
Predictive accuracy
0.49
Prior entropy
0.99
Recall
0.49
Per class
Relative absolute error
1.0586
Root mean prior squared error
0.4964
Root mean squared error
0.6758
Root relative squared error
1.3615
SciMark benchmark
942.5053