DEVELOPMENT... OpenML
Run
110270

Run 110270

Task 1819 (Supervised Classification) vote 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
0.9553
Per class
Build CPU time
0.0335
Build memory
2904821185.0189
F measure
0.9226
Per class
Kappa
0.8376
KB relative information score
1787.5764
Mean absolute error
0.0834
Mean prior absolute error
0.4742
Number of instances
2175
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9236
Per class
Predictive accuracy
0.9223
Prior entropy
0.9627
Recall
0.9223
Per class
Relative absolute error
0.1758
Root mean prior squared error
0.4869
Root mean squared error
0.2577
Root relative squared error
0.5293
SciMark benchmark
931.9671