DEVELOPMENT... OpenML
Run
109383

Run 109383

Task 3641 (Supervised Classification) fri_c2_100_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
0.5541
Per class
Build CPU time
0.0059
Build memory
754147769.6
F measure
0.5611
Per class
Kappa
0.1075
KB relative information score
9.3125
Mean absolute error
0.4413
Mean prior absolute error
0.4904
Number of instances
100
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5626
Per class
Predictive accuracy
0.56
Prior entropy
0.9864
Recall
0.56
Per class
Relative absolute error
0.8999
Root mean prior squared error
0.4951
Root mean squared error
0.6562
Root relative squared error
1.3254
SciMark benchmark
907.4175