DEVELOPMENT... OpenML
Run
162223

Run 162223

Task 3856 (Supervised Classification) kdd_ipums_la_97-small Uploaded 16-02-2015 by Felicia West
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Flow

weka.MultiBoostAB_DecisionStump(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_DecisionStump(2)_C3
weka.MultiBoostAB_DecisionStump(2)_I10
weka.MultiBoostAB_DecisionStump(2)_P100
weka.MultiBoostAB_DecisionStump(2)_S1
weka.MultiBoostAB_DecisionStump(2)_Wweka.classifiers.trees.DecisionStump

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
0.9828
Per class
F measure
0.9759
Per class
Kappa
0.9485
KB relative information score
6642.8659
Mean absolute error
0.0242
Mean prior absolute error
0.466
Number of instances
7019
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9765
Per class
Predictive accuracy
0.9758
Prior entropy
0.9504
Recall
0.9758
Per class
Relative absolute error
0.052
Root mean prior squared error
0.4827
Root mean squared error
0.1556
Root relative squared error
0.3224
SciMark benchmark
938.4285
UserCPU time millis
530
UserCPU time millis testing
10
UserCPU time millis training
520

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