DEVELOPMENT... OpenML
Run
110511

Run 110511

Task 3705 (Supervised Classification) autoHorse 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)_I160
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
0.892
Per class
Build CPU time
0.0162
Build memory
1139192477.4634
F measure
0.9116
Per class
Kappa
0.8157
KB relative information score
165.6326
Mean absolute error
0.0922
Mean prior absolute error
0.4821
Number of instances
205
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9127
Per class
Predictive accuracy
0.9122
Prior entropy
0.9742
Recall
0.9122
Per class
Relative absolute error
0.1913
Root mean prior squared error
0.4909
Root mean squared error
0.2948
Root relative squared error
0.6005
SciMark benchmark
907.4175