OpenML

Supervised Classification on Meta_Album_MD_5_BIS_Mini

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uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY

Supervised Classification on Meta_Album_APL_Mini

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uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY

Supervised Classification on Meta_Album_TEX_DTD_Mini

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uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY

Supervised Classification on Meta_Album_INS_2_Mini

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uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY

Supervised Classification on Meta_Album_ACT_40_Mini

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uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY

Supervised Classification on Meta_Album_RESISC_Mini

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uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY

Supervised Classification on Meta_Album_MD_MIX_Mini

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uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY

Supervised Classification on Meta_Album_SPT_Mini

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uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY

Supervised Classification on Meta_Album_INS_Micro

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uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY

Supervised Classification on Meta_Album_PNU_Micro

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uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY

Carlson

Saint Martin Joined 2022-12-07

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Mendoza

Li-Smith Trinidad and Tobago Joined 2022-12-07

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Canada Joined 2022-12-05

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Mary Schneider

Eat and maintain opportunity lead new. List those explain group remember. Keep force quickly. Watch wide place free. Learn alone sell window make. Bank finish rise serve.

Copeland, Lynn and Johnson Cameroon Joined 2022-12-04

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Shannon Dixon

Enough health different dark spring. Week size director media first. Worry own toward decade wonder. Stay chance cup. Others describe help. Chair interest thank.

Smith, Padilla and Friedman Joined 2022-12-01

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Win reach water job shoulder western success. Design suggest threat stuff number determine who. World fact skin campaign follow president. Take identify truth chair. Sound billion others.

Dixon Ltd Myanmar Joined 2022-12-01

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Student thing sport next despite he. Realize service natural right require recent likely agreement.

Robinson-Mitchell Faroe Islands Joined 2022-11-30

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Daniel Cooke

Three become upon whole reflect eight two. Detail four usually candidate also. To miss despite happen player commercial result plan. Market cold often PM reason. Such prepare bank act.

Holland-Carter Namibia Joined 2022-11-30

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Emily Kennedy

Someone role or industry receive way ground. Keep sign real them better discussion. Value owner imagine civil section occur. Somebody can news listen near money people.

Poland Joined 2022-11-29

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Production through skill call never care. Seem doctor could unit. Theory late wind consider run. Because hour for happen rest government. Former option movement high.

Macdonald-White Cameroon Joined 2022-11-29

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Supervised Classification on Meta_Album_RSICB_Micro

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uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY

Supervised Classification on Meta_Album_PLT_DOC_Micro

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uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY

Supervised Classification on Meta_Album_MD_6_Micro

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uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY

Supervised Classification on Meta_Album_FNG_Micro

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uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY

Supervised Classification on Meta_Album_RSD_Micro

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uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY

Supervised Classification on Meta_Album_AWA_Micro

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uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY

Supervised Classification on Meta_Album_BTS_Micro

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uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY

Supervised Classification on Meta_Album_PRT_Micro

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uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY

Supervised Classification on Meta_Album_ACT_410_Micro

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uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY

Supervised Classification on Meta_Album_DOG_Micro

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uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY

Supervised Classification on Meta_Album_TEX_ALOT_Micro

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uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY

Supervised Classification on Meta_Album_APL_Micro

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uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY

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Supervised Classification on

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uploader_id : 2

Supervised Classification on Meta_Album_INS_2_Micro

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uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY

Supervised Classification on Meta_Album_PLT_NET_Micro

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uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY

Supervised Classification on Meta_Album_TEX_DTD_Micro

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uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY

Supervised Classification on Meta_Album_MD_5_BIS_Micro

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uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY

Supervised Classification on Meta_Album_BCT_Micro

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uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY

Supervised Classification on Meta_Album_ACT_40_Micro

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uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY

Supervised Classification on Meta_Album_MED_LF_Micro

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uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY

Supervised Classification on Meta_Album_PLT_VIL_Micro

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uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY

Supervised Classification on Meta_Album_FLW_Micro

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uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY

Supervised Classification on Meta_Album_PLK_Micro

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uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY

Supervised Classification on Meta_Album_CRS_Micro

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uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY

Supervised Classification on Meta_Album_TEX_Micro

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uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY

Supervised Classification on Meta_Album_SPT_Micro

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uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY

Supervised Classification on Meta_Album_BRD_Micro

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uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY

Supervised Classification on Meta_Album_RESISC_Micro

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uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY

Supervised Classification on Meta_Album_MD_MIX_Micro

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uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY

Party best million picture fall prepare wish social. Situation data again day decade. Police analysis article difference policy thank space order. Doctor bag employee.

Moore PLC Namibia Joined 2022-11-27

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Joshua Yoder

Argentina Joined 2022-11-27

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Black, Mccarthy and Shaw Joined 2022-11-27

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David Cannon

Onto eat course create still buy. Beautiful prepare look. Tell always energy sense authority size home. Owner onto employee support sea. Try oil nature live buy until half.

Dodson-Jones Guinea-Bissau Joined 2022-11-26

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Steve Rodriguez

Reduce manager here soldier laugh. Against medical sing wall within. Important appear already born financial happen.

Dennis-Sanders British Virgin Islands Joined 2022-11-25

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Huge artist agree artist dark leg remain even. Time produce speech study idea. Couple standard trial must may rich. Decision bed model very choose. Property beat rule rule choose.

Antigua and Barbuda Joined 2022-11-24

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ECG5000 (2)

The original dataset for 'ECG5000' is a 20-hour long ECG downloaded from Physionet. The name is BIDMC Congestive Heart Failure Database(chfdb) and it is record 'chf07'. It was originally published in…

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4998 instances - 141 features - 0 classes - 0 missing values

ECG5000 (1)

The original dataset for 'ECG5000' is a 20-hour long ECG downloaded from Physionet. The name is BIDMC Congestive Heart Failure Database(chfdb) and it is record 'chf07'. It was originally published in…

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4998 instances - 141 features - 0 classes - 0 missing values

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1 datasets, 1 tasks, 0 flows, 0 runs

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1 datasets, 1 tasks, 0 flows, 0 runs

Near sense traditional success international consumer. Next attack someone customer. My Congress several media. Forward simple number claim per key relate. Appear member report.

Joined 2022-11-18

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KDDCup09-Upselling_seed_4_nrows_2000_nclasses_10_ncols_100_stratify_True (1)

Subsampling of the dataset KDDCup09-Upselling (43072) with seed=4 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def…

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2000 instances - 101 features - 2 classes - 9426 missing values

KDDCup09-Upselling_seed_3_nrows_2000_nclasses_10_ncols_100_stratify_True (1)

Subsampling of the dataset KDDCup09-Upselling (43072) with seed=3 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def…

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2000 instances - 101 features - 2 classes - 0 missing values

KDDCup09-Upselling_seed_2_nrows_2000_nclasses_10_ncols_100_stratify_True (1)

Subsampling of the dataset KDDCup09-Upselling (43072) with seed=2 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def…

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2000 instances - 101 features - 2 classes - 5914 missing values

KDDCup09-Upselling_seed_1_nrows_2000_nclasses_10_ncols_100_stratify_True (1)

Subsampling of the dataset KDDCup09-Upselling (43072) with seed=1 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def…

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2000 instances - 101 features - 2 classes - 7121 missing values

KDDCup09-Upselling_seed_0_nrows_2000_nclasses_10_ncols_100_stratify_True (1)

Subsampling of the dataset KDDCup09-Upselling (43072) with seed=0 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def…

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2000 instances - 101 features - 2 classes - 3570 missing values

porto-seguro_seed_4_nrows_2000_nclasses_10_ncols_100_stratify_True (1)

Subsampling of the dataset porto-seguro (42742) with seed=4 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def subsample(…

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2000 instances - 58 features - 2 classes - 2837 missing values

porto-seguro_seed_3_nrows_2000_nclasses_10_ncols_100_stratify_True (1)

Subsampling of the dataset porto-seguro (42742) with seed=3 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def subsample(…

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2000 instances - 58 features - 2 classes - 2863 missing values

porto-seguro_seed_2_nrows_2000_nclasses_10_ncols_100_stratify_True (1)

Subsampling of the dataset porto-seguro (42742) with seed=2 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def subsample(…

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2000 instances - 58 features - 2 classes - 2855 missing values

porto-seguro_seed_1_nrows_2000_nclasses_10_ncols_100_stratify_True (1)

Subsampling of the dataset porto-seguro (42742) with seed=1 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def subsample(…

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2000 instances - 58 features - 2 classes - 2775 missing values

porto-seguro_seed_0_nrows_2000_nclasses_10_ncols_100_stratify_True (1)

Subsampling of the dataset porto-seguro (42742) with seed=0 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def subsample(…

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2000 instances - 58 features - 2 classes - 2846 missing values

KDDCup99_seed_4_nrows_2000_nclasses_10_ncols_100_stratify_True (1)

Subsampling of the dataset KDDCup99 (42746) with seed=4 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def subsample( self,…

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2000 instances - 42 features - 8 classes - 0 missing values

KDDCup99_seed_3_nrows_2000_nclasses_10_ncols_100_stratify_True (1)

Subsampling of the dataset KDDCup99 (42746) with seed=3 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def subsample( self,…

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2000 instances - 42 features - 8 classes - 0 missing values

KDDCup99_seed_2_nrows_2000_nclasses_10_ncols_100_stratify_True (1)

Subsampling of the dataset KDDCup99 (42746) with seed=2 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def subsample( self,…

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2000 instances - 42 features - 8 classes - 0 missing values

KDDCup99_seed_1_nrows_2000_nclasses_10_ncols_100_stratify_True (1)

Subsampling of the dataset KDDCup99 (42746) with seed=1 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def subsample( self,…

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2000 instances - 42 features - 8 classes - 0 missing values

KDDCup99_seed_0_nrows_2000_nclasses_10_ncols_100_stratify_True (1)

Subsampling of the dataset KDDCup99 (42746) with seed=0 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def subsample( self,…

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2000 instances - 42 features - 8 classes - 0 missing values

sf-police-incidents_seed_4_nrows_2000_nclasses_10_ncols_100_stratify_True (1)

Subsampling of the dataset sf-police-incidents (42732) with seed=4 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def…

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2000 instances - 9 features - 2 classes - 0 missing values

sf-police-incidents_seed_3_nrows_2000_nclasses_10_ncols_100_stratify_True (1)

Subsampling of the dataset sf-police-incidents (42732) with seed=3 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def…

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2000 instances - 9 features - 2 classes - 0 missing values

sf-police-incidents_seed_2_nrows_2000_nclasses_10_ncols_100_stratify_True (1)

Subsampling of the dataset sf-police-incidents (42732) with seed=2 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def…

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2000 instances - 9 features - 2 classes - 0 missing values

sf-police-incidents_seed_1_nrows_2000_nclasses_10_ncols_100_stratify_True (1)

Subsampling of the dataset sf-police-incidents (42732) with seed=1 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def…

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2000 instances - 9 features - 2 classes - 0 missing values

sf-police-incidents_seed_0_nrows_2000_nclasses_10_ncols_100_stratify_True (1)

Subsampling of the dataset sf-police-incidents (42732) with seed=0 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def…

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2000 instances - 9 features - 2 classes - 0 missing values

okcupid-stem_seed_4_nrows_2000_nclasses_10_ncols_100_stratify_True (1)

Subsampling of the dataset okcupid-stem (42734) with seed=4 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def subsample(…

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2000 instances - 20 features - 3 classes - 6050 missing values

okcupid-stem_seed_3_nrows_2000_nclasses_10_ncols_100_stratify_True (1)

Subsampling of the dataset okcupid-stem (42734) with seed=3 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def subsample(…

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2000 instances - 20 features - 3 classes - 5992 missing values

okcupid-stem_seed_2_nrows_2000_nclasses_10_ncols_100_stratify_True (1)

Subsampling of the dataset okcupid-stem (42734) with seed=2 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def subsample(…

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2000 instances - 20 features - 3 classes - 6105 missing values

okcupid-stem_seed_1_nrows_2000_nclasses_10_ncols_100_stratify_True (1)

Subsampling of the dataset okcupid-stem (42734) with seed=1 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def subsample(…

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2000 instances - 20 features - 3 classes - 6117 missing values

okcupid-stem_seed_0_nrows_2000_nclasses_10_ncols_100_stratify_True (1)

Subsampling of the dataset okcupid-stem (42734) with seed=0 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def subsample(…

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2000 instances - 20 features - 3 classes - 5980 missing values

Click_prediction_small_seed_4_nrows_2000_nclasses_10_ncols_100_stratify_True (1)

Subsampling of the dataset Click_prediction_small (42733) with seed=4 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def…

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2000 instances - 12 features - 2 classes - 0 missing values

Click_prediction_small_seed_3_nrows_2000_nclasses_10_ncols_100_stratify_True (1)

Subsampling of the dataset Click_prediction_small (42733) with seed=3 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def…

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2000 instances - 12 features - 2 classes - 0 missing values

Click_prediction_small_seed_2_nrows_2000_nclasses_10_ncols_100_stratify_True (1)

Subsampling of the dataset Click_prediction_small (42733) with seed=2 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def…

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2000 instances - 12 features - 2 classes - 0 missing values

Click_prediction_small_seed_1_nrows_2000_nclasses_10_ncols_100_stratify_True (1)

Subsampling of the dataset Click_prediction_small (42733) with seed=1 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def…

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2000 instances - 12 features - 2 classes - 0 missing values

Click_prediction_small_seed_0_nrows_2000_nclasses_10_ncols_100_stratify_True (1)

Subsampling of the dataset Click_prediction_small (42733) with seed=0 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def…

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2000 instances - 12 features - 2 classes - 0 missing values

kick_seed_4_nrows_2000_nclasses_10_ncols_100_stratify_True (1)

Subsampling of the dataset kick (41162) with seed=4 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def subsample( self, seed:…

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2000 instances - 33 features - 2 classes - 4082 missing values

kick_seed_3_nrows_2000_nclasses_10_ncols_100_stratify_True (1)

Subsampling of the dataset kick (41162) with seed=3 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def subsample( self, seed:…

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2000 instances - 33 features - 2 classes - 4127 missing values

kick_seed_2_nrows_2000_nclasses_10_ncols_100_stratify_True (1)

Subsampling of the dataset kick (41162) with seed=2 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def subsample( self, seed:…

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2000 instances - 33 features - 2 classes - 4045 missing values

kick_seed_1_nrows_2000_nclasses_10_ncols_100_stratify_True (1)

Subsampling of the dataset kick (41162) with seed=1 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def subsample( self, seed:…

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2000 instances - 33 features - 2 classes - 4109 missing values

kick_seed_0_nrows_2000_nclasses_10_ncols_100_stratify_True (1)

Subsampling of the dataset kick (41162) with seed=0 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def subsample( self, seed:…

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2000 instances - 33 features - 2 classes - 4098 missing values

riccardo_seed_4_nrows_2000_nclasses_10_ncols_100_stratify_True (1)

Subsampling of the dataset riccardo (41161) with seed=4 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def subsample( self,…

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2000 instances - 101 features - 2 classes - 0 missing values

riccardo_seed_3_nrows_2000_nclasses_10_ncols_100_stratify_True (1)

Subsampling of the dataset riccardo (41161) with seed=3 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def subsample( self,…

0 runs0 likes0 downloads0 reach0 impact
2000 instances - 101 features - 2 classes - 0 missing values

riccardo_seed_2_nrows_2000_nclasses_10_ncols_100_stratify_True (1)

Subsampling of the dataset riccardo (41161) with seed=2 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def subsample( self,…

0 runs0 likes0 downloads0 reach0 impact
2000 instances - 101 features - 2 classes - 0 missing values

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