DEVELOPMENT... OpenML
Run
144383

Run 144383

Task 3681 (Supervised Classification) puma8NH 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
0.9008
Per class
F measure
0.8203
Per class
Kappa
0.6406
KB relative information score
4534.8047
Mean absolute error
0.2344
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
0.8205
Per class
Predictive accuracy
0.8203
Prior entropy
1
Recall
0.8203
Per class
Relative absolute error
0.4688
Root mean prior squared error
0.5
Root mean squared error
0.356
Root relative squared error
0.712
SciMark benchmark
935.8986
UserCPU time millis
4330
UserCPU time millis testing
60
UserCPU time millis training
4270