DEVELOPMENT... OpenML
Run
144405

Run 144405

Task 3712 (Supervised Classification) wind 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
0.9224
Per class
F measure
0.8498
Per class
Kappa
0.6982
KB relative information score
4185.8254
Mean absolute error
0.1889
Mean prior absolute error
0.4979
Number of instances
6574
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8498
Per class
Predictive accuracy
0.8499
Prior entropy
0.9969
Recall
0.8499
Per class
Relative absolute error
0.3794
Root mean prior squared error
0.4989
Root mean squared error
0.3358
Root relative squared error
0.673
SciMark benchmark
935.8986
UserCPU time millis
5530
UserCPU time millis testing
50
UserCPU time millis training
5480