DEVELOPMENT... OpenML
Run
122107

Run 122107

Task 3740 (Supervised Classification) fri_c1_100_50 Uploaded 13-12-2014 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)_I160
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
0.6006
Per class
Build CPU time
17.6807
Build memory
1588321230.4
F measure
0.5864
Per class
Kappa
0.1578
KB relative information score
16.378
Mean absolute error
0.4095
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
0.5858
Per class
Predictive accuracy
0.59
Prior entropy
0.99
Recall
0.59
Per class
Relative absolute error
0.8306
Root mean prior squared error
0.4964
Root mean squared error
0.6394
Root relative squared error
1.288
SciMark benchmark
947.7459

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