DEVELOPMENT... OpenML
Run
120120

Run 120120

Task 246 (Supervised Classification) mfeat-karhunen 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)_I20
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
0.9844
Per class
Build CPU time
578.244
Build memory
2590981168
F measure
0.9592
Per class
Kappa
0.9545
KB relative information score
633.6685
Mean absolute error
0.0078
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
0.9599
Per class
Predictive accuracy
0.9591
Prior entropy
3.3219
Recall
0.9591
Per class
Relative absolute error
0.0435
Root mean prior squared error
0.3
Root mean squared error
0.0858
Root relative squared error
0.286
SciMark benchmark
924.2473