@@ -1,95 +0,0 @@ | |||
{ | |||
"about": { | |||
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"citation": " @book{simonoff2003analyzing,title={Analyzing Categorical Data},author={Simonoff, J.S.},isbn={9780387007496},lccn={2003044946},series={Springer Texts in Statistics},url={https://books.google.com/books?id=G8wrifweAoC},year={2003},publisher={Springer New York}} ", | |||
"license": " CC Public Domain Mark 1.0 ", | |||
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@@ -1,65 +0,0 @@ | |||
{ | |||
"about": { | |||
"problemID": "yahoo_sub_5_problem", | |||
"problemName": "yahoo_sub_5_problem", | |||
"problemDescription": "Anomaly detection", | |||
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"problemSchemaVersion": "4.0.0", | |||
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"classification", | |||
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] | |||
}, | |||
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{ | |||
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{ | |||
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} | |||
], | |||
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{ | |||
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"to": "yahoo_sub_5_dataset_TRAIN" | |||
} | |||
], | |||
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{ | |||
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"to": "yahoo_sub_5_dataset_TEST" | |||
} | |||
], | |||
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{ | |||
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"to": "yahoo_sub_5_dataset_SCORE" | |||
} | |||
] | |||
} | |||
}, | |||
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{ | |||
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} | |||
] | |||
}, | |||
"expectedOutputs": { | |||
"predictionsFile": "predictions.csv" | |||
} | |||
} |
@@ -1,95 +0,0 @@ | |||
{ | |||
"about": { | |||
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"datasetName": "NULL", | |||
"description": "Database of baseball players and play statistics, including 'Games_played', 'At_bats', 'Runs', 'Hits', 'Doubles', 'Triples', 'Home_runs', 'RBIs', 'Walks', 'Strikeouts', 'Batting_average', 'On_base_pct', 'Slugging_pct' and 'Fielding_ave'", | |||
"citation": " @book{simonoff2003analyzing,title={Analyzing Categorical Data},author={Simonoff, J.S.},isbn={9780387007496},lccn={2003044946},series={Springer Texts in Statistics},url={https://books.google.com/books?id=G8wrifweAoC},year={2003},publisher={Springer New York}} ", | |||
"license": " CC Public Domain Mark 1.0 ", | |||
"source": "OpenML", | |||
"sourceURI": "http://www.openml.org/d/185", | |||
"approximateSize": "", | |||
"datasetSchemaVersion": "4.0.0", | |||
"redacted": false, | |||
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}, | |||
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"resPath": "tables/learningData.csv", | |||
"resType": "table", | |||
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}, | |||
{ | |||
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"colName": "value_1", | |||
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{ | |||
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{ | |||
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{ | |||
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} |
@@ -1,141 +0,0 @@ | |||
d3mIndex,timestamp,value_0,value_1,value_2,value_3,value_4,ground_truth | |||
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@@ -1,65 +0,0 @@ | |||
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@@ -1,95 +0,0 @@ | |||
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@@ -1,65 +0,0 @@ | |||
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@@ -1,95 +0,0 @@ | |||
{ | |||
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"colType": "real", | |||
"role": [ | |||
"attribute" | |||
] | |||
}, | |||
{ | |||
"colIndex": 3, | |||
"colName": "value_1", | |||
"colType": "real", | |||
"role": [ | |||
"attribute" | |||
] | |||
}, | |||
{ | |||
"colIndex": 4, | |||
"colName": "value_2", | |||
"colType": "real", | |||
"role": [ | |||
"attribute" | |||
] | |||
}, | |||
{ | |||
"colIndex": 5, | |||
"colName": "value_3", | |||
"colType": "real", | |||
"role": [ | |||
"attribute" | |||
] | |||
}, | |||
{ | |||
"colIndex": 6, | |||
"colName": "value_4", | |||
"colType": "real", | |||
"role": [ | |||
"attribute" | |||
] | |||
}, | |||
{ | |||
"colIndex": 7, | |||
"colName": "ground_truth", | |||
"colType": "integer", | |||
"role": [ | |||
"suggestedTarget" | |||
] | |||
} | |||
], | |||
"columnsCount": 8 | |||
} | |||
] | |||
} |
@@ -1,65 +0,0 @@ | |||
{ | |||
"about": { | |||
"problemID": "yahoo_sub_5_problem", | |||
"problemName": "yahoo_sub_5_problem", | |||
"problemDescription": "Anomaly detection", | |||
"problemVersion": "4.0.0", | |||
"problemSchemaVersion": "4.0.0", | |||
"taskKeywords": [ | |||
"classification", | |||
"binary", | |||
"tabular" | |||
] | |||
}, | |||
"inputs": { | |||
"data": [ | |||
{ | |||
"datasetID": "yahoo_sub_5_dataset", | |||
"targets": [ | |||
{ | |||
"targetIndex": 0, | |||
"resID": "learningData", | |||
"colIndex": 7, | |||
"colName": "ground_truth" | |||
} | |||
] | |||
} | |||
], | |||
"dataSplits": { | |||
"method": "holdOut", | |||
"testSize": 0.2, | |||
"stratified": true, | |||
"numRepeats": 0, | |||
"randomSeed": 42, | |||
"splitsFile": "dataSplits.csv", | |||
"datasetViewMaps": { | |||
"train": [ | |||
{ | |||
"from": "yahoo_sub_5_dataset", | |||
"to": "yahoo_sub_5_dataset_TRAIN" | |||
} | |||
], | |||
"test": [ | |||
{ | |||
"from": "yahoo_sub_5_dataset", | |||
"to": "yahoo_sub_5_dataset_TEST" | |||
} | |||
], | |||
"score": [ | |||
{ | |||
"from": "yahoo_sub_5_dataset", | |||
"to": "yahoo_sub_5_dataset_SCORE" | |||
} | |||
] | |||
} | |||
}, | |||
"performanceMetrics": [ | |||
{ | |||
"metric": "f1Macro" | |||
} | |||
] | |||
}, | |||
"expectedOutputs": { | |||
"predictionsFile": "predictions.csv" | |||
} | |||
} |