DEVELOPMENT... OpenML
Run
109422

Run 109422

Task 3701 (Supervised Classification) sleuth_case1102 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
0.3684
Per class
Build CPU time
0.0042
Build memory
58912728.2353
F measure
0.4055
Per class
Kappa
-0.21
KB relative information score
-6.4892
Mean absolute error
0.5829
Mean prior absolute error
0.4935
Number of instances
34
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.4019
Per class
Predictive accuracy
0.4118
Prior entropy
0.9911
Recall
0.4118
Per class
Relative absolute error
1.1812
Root mean prior squared error
0.4965
Root mean squared error
0.7437
Root relative squared error
1.4978
SciMark benchmark
923.9118