DEVELOPMENT... OpenML
Run
144324

Run 144324

Task 3618 (Supervised Classification) puma32H Uploaded 31-01-2015 by Felicia West
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Flow

weka.AdaBoostM1_ADTree(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.ADTree(2)_B10
weka.ADTree(2)_E-3
weka.ADTree(2)_S1
weka.AdaBoostM1_ADTree(2)_I10
weka.AdaBoostM1_ADTree(2)_P100
weka.AdaBoostM1_ADTree(2)_S1
weka.AdaBoostM1_ADTree(2)_Wweka.classifiers.trees.ADTree

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
0.9503
Per class
F measure
0.8774
Per class
Kappa
0.7549
KB relative information score
5763.0229
Mean absolute error
0.1551
Mean prior absolute error
0.5
Number of instances
8192
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8781
Per class
Predictive accuracy
0.8774
Prior entropy
1
Recall
0.8774
Per class
Relative absolute error
0.3102
Root mean prior squared error
0.5
Root mean squared error
0.3035
Root relative squared error
0.607
SciMark benchmark
935.8986
UserCPU time millis
18120
UserCPU time millis testing
60
UserCPU time millis training
18060