DEVELOPMENT... OpenML
Run
117177

Run 117177

Task 3635 (Supervised Classification) fri_c1_250_50 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
0.9028
Per class
Build CPU time
7.2948
Build memory
167646381.6
F measure
0.8758
Per class
Kappa
0.7491
KB relative information score
187.9058
Mean absolute error
0.1223
Mean prior absolute error
0.4954
Number of instances
250
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8759
Per class
Predictive accuracy
0.876
Prior entropy
0.9934
Recall
0.876
Per class
Relative absolute error
0.2469
Root mean prior squared error
0.4977
Root mean squared error
0.3453
Root relative squared error
0.6938
SciMark benchmark
937.9603