DEVELOPMENT... OpenML
Run
109601

Run 109601

Task 3896 (Supervised Classification) ada_agnostic 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
0.6843
Per class
Build CPU time
2.74
Build memory
237820056.9101
F measure
0.7678
Per class
Kappa
0.3735
KB relative information score
1408.6801
Mean absolute error
0.2307
Mean prior absolute error
0.3732
Number of instances
4562
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7663
Per class
Predictive accuracy
0.7694
Prior entropy
0.8085
Recall
0.7694
Per class
Relative absolute error
0.6183
Root mean prior squared error
0.4319
Root mean squared error
0.4801
Root relative squared error
1.1115
SciMark benchmark
934.2858