DEVELOPMENT... OpenML
Run
117208

Run 117208

Task 3693 (Supervised Classification) fri_c4_100_100 Uploaded 10-12-2014 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)_I80
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
0.7921
Per class
Build CPU time
5.9798
Build memory
778024226.4
F measure
0.7602
Per class
Kappa
0.5206
KB relative information score
51.7435
Mean absolute error
0.2402
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
0.7628
Per class
Predictive accuracy
0.76
Prior entropy
0.9975
Recall
0.76
Per class
Relative absolute error
0.4821
Root mean prior squared error
0.4991
Root mean squared error
0.4844
Root relative squared error
0.9705
SciMark benchmark
939.521