DEVELOPMENT... OpenML
Run
122183

Run 122183

Task 250 (Supervised Classification) mfeat-pixel 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
0.9825
Per class
Build CPU time
40138.054
Build memory
1836438920
F measure
0.9667
Per class
Kappa
0.9629
KB relative information score
636.9933
Mean absolute error
0.0067
Mean prior absolute error
0.18
Number of instances
660
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9675
Per class
Predictive accuracy
0.9667
Prior entropy
3.3219
Recall
0.9667
Per class
Relative absolute error
0.037
Root mean prior squared error
0.3
Root mean squared error
0.0816
Root relative squared error
0.2722
SciMark benchmark
935.1241