DEVELOPMENT... OpenML
Run
109419

Run 109419

Task 3697 (Supervised Classification) fri_c3_250_25 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
0.5553
Per class
Build CPU time
0.0184
Build memory
1225529189.6
F measure
0.5604
Per class
Kappa
0.1104
KB relative information score
25.801
Mean absolute error
0.4405
Mean prior absolute error
0.4938
Number of instances
250
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5608
Per class
Predictive accuracy
0.56
Prior entropy
0.9911
Recall
0.56
Per class
Relative absolute error
0.8922
Root mean prior squared error
0.4969
Root mean squared error
0.6604
Root relative squared error
1.3292
SciMark benchmark
943.7751