DEVELOPMENT... OpenML
Run
109288

Run 109288

Task 3498 (Supervised Classification) pasture 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)_I40
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
0.7639
Per class
Build CPU time
0.004
Build memory
56451836.4444
F measure
0.6974
Per class
Kappa
0.5417
KB relative information score
19.9008
Mean absolute error
0.2242
Mean prior absolute error
0.4444
Number of instances
36
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7195
Per class
Predictive accuracy
0.6944
Prior entropy
1.585
Recall
0.6944
Per class
Relative absolute error
0.5044
Root mean prior squared error
0.4714
Root mean squared error
0.4336
Root relative squared error
0.9198
SciMark benchmark
937.5625