DEVELOPMENT... OpenML
Run
52925

Run 52925

Task 1711 (Learning Curve) mfeat-factors Uploaded 07-11-2014 by Jason
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.AdaBoostM1_LADTree(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_LADTree(2)_I10
weka.AdaBoostM1_LADTree(2)_P100
weka.AdaBoostM1_LADTree(2)_S1
weka.AdaBoostM1_LADTree(2)_Wweka.classifiers.trees.LADTree
weka.LADTree(2)_B10

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
0.9964 ± 0.0024
Per class
Build CPU time
25.0749
Build memory
98007895.4909
F measure
0.9435 ± 0.0156
Per class
Kappa
0.9372 ± 0.0172
KB relative information score
0.9199 ± 0.0117
Mean absolute error
0.0218 ± 0.003
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
0.9436 ± 0.0142
Per class
Predictive accuracy
0.9435 ± 0.0155
Prior entropy
3.3219
Recall
0.9435 ± 0.0155
Per class
Relative absolute error
0.121 ± 0.0166
Root mean prior squared error
0.3
Root mean squared error
0.0964 ± 0.0096
Root relative squared error
0.3214 ± 0.032
SciMark benchmark
1615.5755