DEVELOPMENT... OpenML
Run
110463

Run 110463

Task 3647 (Supervised Classification) rabe_266 Uploaded 09-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_IBk(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_IBk(2)_I160
weka.AdaBoostM1_IBk(2)_P100
weka.AdaBoostM1_IBk(2)_S1
weka.AdaBoostM1_IBk(2)_Wweka.classifiers.lazy.IBk
weka.IBk(2)_Atrue
weka.IBk(2)_K1
weka.IBk(2)_W0

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
0.9705
Per class
Build CPU time
0.0125
Build memory
499410700.8
F measure
0.95
Per class
Kappa
0.9002
KB relative information score
104.7189
Mean absolute error
0.0654
Mean prior absolute error
0.4988
Number of instances
120
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9548
Per class
Predictive accuracy
0.95
Prior entropy
0.9983
Recall
0.95
Per class
Relative absolute error
0.1311
Root mean prior squared error
0.4994
Root mean squared error
0.2128
Root relative squared error
0.4262
SciMark benchmark
890.3066