DEVELOPMENT... OpenML
Run
48505

Run 48505

Task 1719 (Learning Curve) mfeat-pixel Uploaded 05-11-2014 by Jason
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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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)_I10
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
0.9815 ± 0.0077
Per class
Build CPU time
0.5777
Build memory
1779762200.3636
F measure
0.9618 ± 0.016
Per class
Kappa
0.9578 ± 0.0176
KB relative information score
0.9599 ± 0.0161
Mean absolute error
0.0083 ± 0.0031
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.9626 ± 0.0155
Per class
Predictive accuracy
0.962 ± 0.0158
Prior entropy
3.3219
Recall
0.962 ± 0.0158
Per class
Relative absolute error
0.0463 ± 0.0174
Root mean prior squared error
0.3
Root mean squared error
0.085 ± 0.018
Root relative squared error
0.2833 ± 0.0599
SciMark benchmark
1193.7396

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