DEVELOPMENT... OpenML
Run
121459

Run 121459

Task 16 (Supervised Classification) mfeat-karhunen 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
0.977
Per class
Build CPU time
3751.5792
Build memory
156068496.8
F measure
0.9575
Per class
Kappa
0.9528
KB relative information score
1910.9149
Mean absolute error
0.0085
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9576
Per class
Predictive accuracy
0.9575
Prior entropy
3.3219
Recall
0.9575
Per class
Relative absolute error
0.0475
Root mean prior squared error
0.3
Root mean squared error
0.0922
Root relative squared error
0.3074
SciMark benchmark
942.0692