DEVELOPMENT... OpenML
Run
121695

Run 121695

Task 3905 (Supervised Classification) mc2 Uploaded 12-12-2014 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
0.725
Per class
Build CPU time
7.0954
Build memory
234536174.4099
F measure
0.7256
Per class
Kappa
0.3603
KB relative information score
58.5518
Mean absolute error
0.2642
Mean prior absolute error
0.4381
Number of instances
161
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7231
Per class
Predictive accuracy
0.7329
Prior entropy
0.9099
Recall
0.7329
Per class
Relative absolute error
0.603
Root mean prior squared error
0.4676
Root mean squared error
0.4798
Root relative squared error
1.026
SciMark benchmark
945.0532