DEVELOPMENT... OpenML
Run
144387

Run 144387

Task 3692 (Supervised Classification) disclosure_x_noise 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
0.4655
Per class
F measure
0.4761
Per class
Kappa
-0.0459
KB relative information score
-14.2729
Mean absolute error
0.5088
Mean prior absolute error
0.5
Number of instances
662
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.4769
Per class
Predictive accuracy
0.4773
Prior entropy
1
Recall
0.4773
Per class
Relative absolute error
1.0177
Root mean prior squared error
0.5
Root mean squared error
0.5369
Root relative squared error
1.0739
SciMark benchmark
945.6434
UserCPU time millis
120
UserCPU time millis training
120