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Function: require_once

OpenML
Task
Learning Curve on baseball

Learning Curve on baseball

Task 2100 Learning Curve baseball 0 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • ActiveTestingSamples curves-medium curves-small LearningCurves study_2 study_37 under1m
Issue #Downvotes for this reason By


Metric:

0 Runs

Curves

Plotting curves

Table

Run setup id Flow predictive accuracy
Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

Given a dataset with a nominal target, various data samples of increasing size are defined. A model is build for each individual data sample; from this a learning curve can be drawn.

Given inputs

estimation_procedure 10-fold Learning Curve
evaluation_measures predictive_accuracy
number_samples 10
source_data baseball (1)
target_feature Hall_of_Fame

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
predictions The desired output format Predictions (optional)

How to submit runs

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