DEVELOPMENT... OpenML
Run
147044

Run 147044

Task 3564 (Supervised Classification) analcatdata_germangss Uploaded 01-02-2015 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)_I40
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.

22 Evaluation measures

Area under ROC curve
0.7088
Per class
F measure
0.4217
Per class
Kappa
0.2267
KB relative information score
97.7006
Mean absolute error
0.32
Mean prior absolute error
0.375
Number of instances
400
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.4443
Per class
Predictive accuracy
0.42
Prior entropy
2
Recall
0.42
Per class
Relative absolute error
0.8535
Root mean prior squared error
0.433
Root mean squared error
0.4164
Root relative squared error
0.9616
SciMark benchmark
933.8635
UserCPU time millis
50
UserCPU time millis training
50