DEVELOPMENT... OpenML
Run
116822

Run 116822

Task 3877 (Supervised Classification) analcatdata_dmft 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
0.4835
Per class
Build CPU time
4.5022
Build memory
948481046.0828
F measure
0.7109
Per class
Kappa
-0.0293
KB relative information score
-136.7228
Mean absolute error
0.3118
Mean prior absolute error
0.3138
Number of instances
797
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6632
Per class
Predictive accuracy
0.7817
Prior entropy
0.7123
Recall
0.7817
Per class
Relative absolute error
0.9937
Root mean prior squared error
0.3958
Root mean squared error
0.4261
Root relative squared error
1.0765
SciMark benchmark
920.2874