DEVELOPMENT... OpenML
Run
116651

Run 116651

Task 3654 (Supervised Classification) fri_c1_100_10 Uploaded 09-12-2014 by Felicia West
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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)_I160
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
0.846
Per class
Build CPU time
1.3675
Build memory
191100158.4
F measure
0.8095
Per class
Kappa
0.6172
KB relative information score
60.7137
Mean absolute error
0.196
Mean prior absolute error
0.4982
Number of instances
100
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8104
Per class
Predictive accuracy
0.81
Prior entropy
0.9975
Recall
0.81
Per class
Relative absolute error
0.3933
Root mean prior squared error
0.4991
Root mean squared error
0.4377
Root relative squared error
0.8769
SciMark benchmark
914.1182