DEVELOPMENT... OpenML
Run
109417

Run 109417

Task 3695 (Supervised Classification) fri_c2_250_10 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
0.7927
Per class
Build CPU time
0.0153
Build memory
60029744.8
F measure
0.808
Per class
Kappa
0.5853
KB relative information score
141.815
Mean absolute error
0.1947
Mean prior absolute error
0.4633
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
0.808
Per class
Predictive accuracy
0.808
Prior entropy
0.9468
Recall
0.808
Per class
Relative absolute error
0.4203
Root mean prior squared error
0.4812
Root mean squared error
0.4363
Root relative squared error
0.9067
SciMark benchmark
923.9118