DEVELOPMENT... OpenML
Run
144583

Run 144583

Task 3881 (Supervised Classification) ipums_la_99-small 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
0.8773
Per class
F measure
0.9153
Per class
Kappa
0.2048
KB relative information score
-3733.1534
Mean absolute error
0.0989
Mean prior absolute error
0.1203
Number of instances
8844
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.908
Per class
Predictive accuracy
0.9271
Prior entropy
0.3444
Recall
0.9271
Per class
Relative absolute error
0.8222
Root mean prior squared error
0.2452
Root mean squared error
0.2344
Root relative squared error
0.9562
SciMark benchmark
938.9865
UserCPU time millis
8510
UserCPU time millis testing
70
UserCPU time millis training
8440