DEVELOPMENT... OpenML
Run
121485

Run 121485

Task 3658 (Supervised Classification) fri_c3_250_10 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
0.9068
Per class
Build CPU time
9.5362
Build memory
1099995192
F measure
0.9079
Per class
Kappa
0.8145
KB relative information score
203.5256
Mean absolute error
0.0921
Mean prior absolute error
0.4968
Number of instances
250
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9081
Per class
Predictive accuracy
0.908
Prior entropy
0.9955
Recall
0.908
Per class
Relative absolute error
0.1854
Root mean prior squared error
0.4984
Root mean squared error
0.3033
Root relative squared error
0.6086
SciMark benchmark
945.0532