DEVELOPMENT... OpenML
Run
121016

Run 121016

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)_I40
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
0.9777
Per class
Build CPU time
1783.2839
Build memory
942843061.6
F measure
0.9545
Per class
Kappa
0.9494
KB relative information score
1904.6502
Mean absolute error
0.0091
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
0.9547
Per class
Predictive accuracy
0.9545
Prior entropy
3.3219
Recall
0.9545
Per class
Relative absolute error
0.0508
Root mean prior squared error
0.3
Root mean squared error
0.0954
Root relative squared error
0.318
SciMark benchmark
945.5885