DEVELOPMENT... OpenML
Run
144465

Run 144465

Task 3771 (Supervised Classification) chscase_census3 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
0.471
Per class
F measure
0.4777
Per class
Kappa
-0.0452
KB relative information score
-12.7163
Mean absolute error
0.513
Mean prior absolute error
0.4992
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
0.4782
Per class
Predictive accuracy
0.4775
Prior entropy
0.9989
Recall
0.4775
Per class
Relative absolute error
1.0276
Root mean prior squared error
0.4996
Root mean squared error
0.5817
Root relative squared error
1.1644
SciMark benchmark
938.9865
UserCPU time millis
150
UserCPU time millis training
150