DEVELOPMENT... OpenML
Run
109415

Run 109415

Task 3690 (Supervised Classification) boston_corrected 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
0.8297
Per class
Build CPU time
0.0266
Build memory
1152564189.5336
F measure
0.8336
Per class
Kappa
0.662
KB relative information score
333.4496
Mean absolute error
0.1675
Mean prior absolute error
0.493
Number of instances
506
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8337
Per class
Predictive accuracy
0.834
Prior entropy
0.9899
Recall
0.834
Per class
Relative absolute error
0.3397
Root mean prior squared error
0.4965
Root mean squared error
0.4066
Root relative squared error
0.8189
SciMark benchmark
943.7751