DEVELOPMENT... OpenML
Run
109496

Run 109496

Task 3783 (Supervised Classification) fri_c2_500_50 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
0.5626
Per class
Build CPU time
0.1866
Build memory
228167884.8
F measure
0.5802
Per class
Kappa
0.1272
KB relative information score
63.6624
Mean absolute error
0.4164
Mean prior absolute error
0.4839
Number of instances
500
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5782
Per class
Predictive accuracy
0.584
Prior entropy
0.9767
Recall
0.584
Per class
Relative absolute error
0.8605
Root mean prior squared error
0.4918
Root mean squared error
0.6436
Root relative squared error
1.3085
SciMark benchmark
945.0554