Run
504404

Run 504404

Task 10058 (Learning Curve) ipums_la_98-small Uploaded 01-01-2016 by Joaquin Vanschoren
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Flow

weka.Bagging_REPTree(17)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.REPTree(15)_M2
weka.REPTree(15)_V0.001
weka.REPTree(15)_N3
weka.REPTree(15)_S1
weka.REPTree(15)_L-1
weka.REPTree(15)_I0.0
weka.Bagging_REPTree(17)_P100
weka.Bagging_REPTree(17)_S1
weka.Bagging_REPTree(17)_num-slots1
weka.Bagging_REPTree(17)_I10
weka.Bagging_REPTree(17)_Wweka.classifiers.trees.REPTree

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
0.8351 ± 0.0153
Per class
F measure
0.8566 ± 0.0041
Per class
Kappa
0.1022 ± 0.0318
KB relative information score
-1679.8588 ± 43.248
Mean absolute error
0.1551 ± 0.0053
Mean prior absolute error
0.1891 ± 0.0003
Number of instances
7485
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8511 ± 0.0064
Per class
Predictive accuracy
0.8918 ± 0.0021
Prior entropy
0.4871
Recall
0.8918 ± 0.0021
Per class
Relative absolute error
0.8204 ± 0.0274
Root mean prior squared error
0.3074 ± 0.0005
Root mean squared error
0.2868 ± 0.005
Root relative squared error
0.933 ± 0.0151
SciMark benchmark
914.23
UserCPU time millis
1650
UserCPU time millis testing
20
UserCPU time millis training
1630