update dataset files

Created by https://github.com/EpistasisLab/pmlb/actions/runs/13438413160\nfrom c657b16 on 2025-02-20

Author: github-actions[bot]

.lfs-assets-id

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pmlb/all_summary_stats.tsv

@@ -13,10 +13,8 @@ dataset	n_instances	n_features	n_binary_features	n_categorical_features	n_contin
 1203_BNG_pwLinear	177147	10	1	9	0	continuous	176025.0	3.5972484453226156e-08	regression
 1595_poker	1025010	10	0	5	5	continuous	10.0	0.3693735838721754	regression
 192_vineyard	52	2	0	0	2	continuous	19.0	0.0404750164365548	regression
-195_auto_price	159	15	0	1	14	continuous	145.0	0.0005037819354895	regression
 197_cpu_act	8192	21	0	0	21	continuous	56.0	0.0205723459070379	regression
 201_pol	15000	48	0	22	26	continuous	11.0	0.3746815528888889	regression
-207_autoPrice	159	15	0	1	14	continuous	145.0	0.0005037819354895	regression
 210_cloud	108	5	1	1	3	continuous	94.0	0.0013791170700768	regression
 215_2dplanes	40768	10	1	9	0	continuous	40368.0	2.419008481400585e-07	regression
 218_house_8L	22784	8	0	0	8	continuous	2045.0	0.0193534322439784	regression
@@ -127,6 +125,41 @@ GAMETES_Heterogeneity_20atts_1600_Het_0.4_0.2_50_EDM_2_001	1600	20	1	19	0	catego
 GAMETES_Heterogeneity_20atts_1600_Het_0.4_0.2_75_EDM_2_001	1600	20	1	19	0	categorical	2.0	0.0	classification
 Hill_Valley_with_noise	1212	100	0	0	100	categorical	2.0	0.0	classification
 Hill_Valley_without_noise	1212	100	0	0	100	categorical	2.0	9.802960494069226e-05	classification
+195_auto_price	159	15	0	1	14	continuous	145.0	0.0005037819354895	regression
+207_autoPrice	159	15	0	1	14	continuous	145.0	0.0005037819354895	regression
+australian	690	14	4	3	7	categorical	2.0	0.0121319050619617	classification
+auto	202	25	3	6	16	categorical	5.0	0.0453754533869228	classification
+breast	699	10	0	8	2	categorical	2.0	0.0963751609186227	classification
+breast_cancer_wisconsin	569	30	0	0	30	categorical	2.0	0.064939878490615	classification
+breast_w	699	9	0	8	1	categorical	2.0	0.0963751609186227	classification
+buggyCrx	690	15	3	5	7	categorical	2.0	0.0121319050619617	classification
+car	1728	6	0	6	0	categorical	4.0	0.3902883159007773	classification
+car_evaluation	1728	21	21	0	0	categorical	4.0	0.3902883159007773	classification
+cleve	303	13	3	5	5	categorical	2.0	0.007940398000196	classification
+cleveland	303	13	3	5	5	categorical	5.0	0.1940060342667929	classification
+cleveland_nominal	303	7	3	4	0	categorical	5.0	0.1940060342667929	classification
+cmc	1473	9	3	4	2	categorical	3.0	0.030700608232641	classification
+colic	368	22	1	14	7	categorical	2.0	0.0680529300567108	classification
+contraceptive	1473	9	3	4	2	categorical	3.0	0.030700608232641	classification
+credit_a	690	15	3	5	7	categorical	2.0	0.0121319050619617	classification
+credit_g	1000	20	3	14	3	categorical	2.0	0.1599999999999999	classification
+crx	690	15	3	5	7	categorical	2.0	0.0121319050619617	classification
+diabetes	768	8	0	0	8	categorical	2.0	0.0912543402777777	classification
+flare	1066	10	4	6	0	categorical	2.0	0.4336704342653181	classification
+german	1000	20	3	14	3	categorical	2.0	0.1599999999999999	classification
+glass	205	9	0	0	9	categorical	5.0	0.1061867935752528	classification
+heart_c	303	13	3	5	5	categorical	2.0	0.007940398000196	classification
+heart_h	294	13	2	6	5	categorical	2.0	0.0777916608820399	classification
+heart_statlog	270	13	3	5	5	categorical	2.0	0.0123456790123456	classification
+horse_colic	368	22	1	14	7	categorical	2.0	0.0680529300567108	classification
+house_votes_84	435	16	0	16	0	categorical	2.0	0.05179548156956	classification
+hungarian	294	13	2	6	5	categorical	2.0	0.0777916608820399	classification
+pima	768	8	0	0	8	categorical	2.0	0.0912543402777777	classification
+prnn_fglass	205	9	0	0	9	categorical	5.0	0.1061867935752528	classification
+solar_flare_1	315	12	7	5	0	categorical	5.0	0.0323255228017132	classification
+solar_flare_2	1066	12	4	8	0	categorical	6.0	0.0573341452854562	classification
+vote	435	16	0	16	0	categorical	2.0	0.05179548156956	classification
+wdbc	569	30	0	0	30	categorical	2.0	0.064939878490615	classification
 adult	48842	14	1	4	9	categorical	2.0	0.2718959907996784	classification
 agaricus_lepiota	8145	22	5	16	1	categorical	2.0	0.0014579364729441	classification
 allbp	3772	29	19	4	6	categorical	3.0	0.8755228428707819	classification
@@ -150,43 +183,36 @@ analcatdata_japansolvent	52	9	0	0	9	categorical	2.0	0.0014792899408284	classific
 analcatdata_lawsuit	264	4	1	0	3	categorical	2.0	0.7328397612488521	classification
 ann_thyroid	7200	21	15	0	6	categorical	3.0	0.7904668981481481	classification
 appendicitis	106	7	0	0	7	categorical	2.0	0.3645425418298327	classification
-australian	690	14	4	3	7	categorical	2.0	0.0121319050619617	classification
-auto	202	25	3	6	16	categorical	5.0	0.0453754533869228	classification
+auto_insurance_losses	164	24	3	7	14	continuous	51.0	0.0084428911362284	regression
+auto_insurance_price	201	23	4	6	13	continuous	186.0	0.0003431812297929	regression
+auto_insurance_symboling	205	24	4	6	14	ordinal	6.0	0.0755788221296847	classification
 backache	180	32	22	4	6	categorical	2.0	0.521604938271605	classification
 balance_scale	625	4	0	4	0	categorical	3.0	0.14622976	classification
 banana	5300	2	0	0	2	categorical	2.0	0.0106907796368814	classification
 biomed	209	8	0	1	7	categorical	2.0	0.079691399006433	classification
-breast	699	10	0	8	2	categorical	2.0	0.0963751609186227	classification
 breast_cancer	286	9	2	6	1	categorical	2.0	0.1645068218494792	classification
-breast_cancer_wisconsin	569	30	0	0	30	categorical	2.0	0.064939878490615	classification
-breast_w	699	9	0	8	1	categorical	2.0	0.0963751609186227	classification
-buggyCrx	690	15	3	5	7	categorical	2.0	0.0121319050619617	classification
+breast_cancer_wisconsin_diagnostic	569	30	0	0	30	binary	2.0	0.064939878490615	classification
+breast_cancer_wisconsin_original	699	9	0	0	9	binary	2.0	0.0963751609186227	classification
+breast_cancer_wisconsin_prognostic	198	32	0	0	32		1.0		survival
 bupa	345	5	0	0	5	categorical	2.0	0.0004116782188615	classification
 calendarDOW	399	32	2	18	12	categorical	5.0	0.0140294344884768	classification
-car	1728	6	0	6	0	categorical	4.0	0.3902883159007773	classification
-car_evaluation	1728	21	21	0	0	categorical	4.0	0.3902883159007773	classification
+car_evaluation	1728	6	0	6	0	categorical	4.0	0.390288315900777	classification
 cars	392	8	0	1	7	categorical	3.0	0.1919968242399	classification
 chess	3196	36	35	1	0	categorical	2.0	0.0019740727223171	classification
 churn	5000	20	2	2	16	categorical	2.0	0.5143758400000001	classification
 clean1	476	168	0	0	168	categorical	2.0	0.016965609773321	classification
 clean2	6598	168	0	0	168	categorical	2.0	0.478483150625434	classification
-cleve	303	13	3	5	5	categorical	2.0	0.007940398000196	classification
-cleveland	303	13	3	5	5	categorical	5.0	0.1940060342667929	classification
-cleveland_nominal	303	7	3	4	0	categorical	5.0	0.1940060342667929	classification
 cloud	108	7	1	0	6	categorical	4.0	0.0050297210791037	classification
-cmc	1473	9	3	4	2	categorical	3.0	0.030700608232641	classification
 coil2000	9822	85	5	79	1	categorical	2.0	0.7755902757953309	classification
-colic	368	22	1	14	7	categorical	2.0	0.0680529300567108	classification
 collins	485	23	0	1	22	categorical	13.0	0.0219810819428207	classification
 confidence	72	3	0	0	3	categorical	6.0	0.0	classification
+congressional_voting_records	435	16	0	16	0	binary	2.0	0.0517954815695601	classification
 connect_4	67557	42	0	42	0	categorical	3.0	0.2546625519372754	classification
-contraceptive	1473	9	3	4	2	categorical	3.0	0.030700608232641	classification
+contraceptive_method	1473	9	3	4	2	categorical	3.0	0.030700608232641	classification
 corral	160	6	6	0	0	categorical	2.0	0.015625	classification
-credit_a	690	15	3	5	7	categorical	2.0	0.0121319050619617	classification
-credit_g	1000	20	3	14	3	categorical	2.0	0.1599999999999999	classification
-crx	690	15	3	5	7	categorical	2.0	0.0121319050619617	classification
+credit_approval_australia	690	15	4	5	6	binary	2.0	0.0121319050619618	classification
+credit_approval_germany	1000	20	3	14	3	binary	2.0	0.16	classification
 dermatology	366	34	1	32	1	categorical	6.0	0.0414583893218668	classification
-diabetes	768	8	0	0	8	categorical	2.0	0.0912543402777777	classification
 dis	3772	29	19	4	6	categorical	2.0	0.9394399094067016	classification
 dna	3186	180	180	0	0	categorical	3.0	0.0776847980158012	classification
 ecoli	327	7	0	0	7	categorical	5.0	0.1089648271282813	classification
@@ -311,19 +337,17 @@ feynman_test_7	100000	5	0	0	5	continuous	100000.0	0.0	regression
 feynman_test_8	100000	4	0	0	4	continuous	100000.0	0.0	regression
 feynman_test_9	100000	5	0	0	5	continuous	100000.0	0.0	regression
 flags	178	43	36	5	2	categorical	5.0	0.04391806590077	classification
-flare	1066	10	4	6	0	categorical	2.0	0.4336704342653181	classification
-german	1000	20	3	14	3	categorical	2.0	0.1599999999999999	classification
-glass	205	9	0	0	9	categorical	5.0	0.1061867935752528	classification
 glass2	163	9	0	0	9	categorical	2.0	0.0045541796830893	classification
 haberman	306	3	0	0	3	categorical	2.0	0.2214532871972319	classification
 hayes_roth	160	4	0	4	0	categorical	3.0	0.0438671874999999	classification
-heart_c	303	13	3	5	5	categorical	2.0	0.007940398000196	classification
-heart_h	294	13	2	6	5	categorical	2.0	0.0777916608820399	classification
-heart_statlog	270	13	3	5	5	categorical	2.0	0.0123456790123456	classification
+heart_disease_cleveland	303	13	3	4	6	binary	2.0	0.0068076114542147	classification
+heart_disease_hungarian	294	13	3	4	6	binary	2.0	0.0777916608820399	classification
+heart_disease_va_long_beach	200	13	3	4	6	binary	2.0	0.2401	classification
+heart_disease_zurich	123	12	3	4	5	binary	2.0	0.756758543195188	classification
 hepatitis	155	19	3	10	6	categorical	2.0	0.3446826222684704	classification
-horse_colic	368	22	1	14	7	categorical	2.0	0.0680529300567108	classification
-house_votes_84	435	16	0	16	0	categorical	2.0	0.05179548156956	classification
-hungarian	294	13	2	6	5	categorical	2.0	0.0777916608820399	classification
+horse_colic_lesion_type	368	20	2	11	7	categorical	5.0	0.113506468572779	classification
+horse_colic_outcome	366	21	3	11	7	categorical	3.0	0.185859535967034	classification
+horse_colic_surgery	368	20	2	11	7	binary	2.0	0.0680529300567108	classification
 hypothyroid	3163	25	17	1	7	categorical	2.0	0.8181582834802777	classification
 ionosphere	351	34	1	1	32	categorical	2.0	0.0795529257067718	classification
 iris	150	4	0	0	4	categorical	3.0	0.0	classification
@@ -364,11 +388,9 @@ parity5+5	1124	10	10	0	0	categorical	2.0	7.915299958207264e-05	classification
 pendigits	10992	16	0	0	16	categorical	10.0	0.0001780697519917	classification
 penguins	344	7	1	2	4	categorical	3.0	0.0463764196863169	classification
 phoneme	5404	5	0	0	5	categorical	2.0	0.1705916225117124	classification
-pima	768	8	0	0	8	categorical	2.0	0.0912543402777777	classification
 poker	1025010	10	0	5	5	categorical	10.0	0.3693735838721754	classification
 postoperative_patient_data	88	8	2	6	0	categorical	2.0	0.2066115702479339	classification
 prnn_crabs	200	7	1	0	6	categorical	2.0	0.0	classification
-prnn_fglass	205	9	0	0	9	categorical	5.0	0.1061867935752528	classification
 prnn_synth	250	2	0	0	2	categorical	2.0	0.0	classification
 profb	672	9	1	2	6	categorical	2.0	0.1111111111111111	classification
 ring	7400	20	0	0	20	categorical	2.0	9.46676406135857e-05	classification
@@ -378,8 +400,7 @@ schizo	340	14	2	0	12	categorical	3.0	0.1478546712802768	classification
 segmentation	2310	19	0	1	18	categorical	7.0	0.0	classification
 shuttle	58000	9	0	0	9	categorical	7.0	0.5852340828378914	classification
 sleep	105908	13	0	1	12	categorical	5.0	0.1484938125639567	classification
-solar_flare_1	315	12	7	5	0	categorical	5.0	0.0323255228017132	classification
-solar_flare_2	1066	12	4	8	0	categorical	6.0	0.0573341452854562	classification
+solar_flare	1066	10	5	5	0	continuous	8.0	0.65729049699214	regression
 sonar	208	60	0	0	60	categorical	2.0	0.0045303254437869	classification
 soybean	675	35	1	34	0	categorical	18.0	0.0362678286129266	classification
 spambase	4601	57	0	0	57	categorical	2.0	0.0449060406200498	classification
@@ -408,11 +429,9 @@ titanic	2207	8	1	4	3	categorical	2.0	0.1265128522768823	classification
 tokyo1	959	44	0	2	42	categorical	2.0	0.0775149209345414	classification
 twonorm	7400	20	0	0	20	categorical	2.0	6.57414170927761e-07	classification
 vehicle	846	18	0	0	18	categorical	4.0	0.0004266124179609	classification
-vote	435	16	0	16	0	categorical	2.0	0.05179548156956	classification
 vowel	990	13	2	0	11	categorical	11.0	0.0	classification
 waveform_21	5000	21	0	0	21	categorical	3.0	8.043999999999987e-05	classification
 waveform_40	5000	40	0	0	40	categorical	3.0	5.787999999999952e-05	classification
-wdbc	569	30	0	0	30	categorical	2.0	0.064939878490615	classification
 wine_quality_red	1599	11	0	0	11	categorical	6.0	0.2288041188970123	classification
 wine_quality_white	4898	11	0	0	11	categorical	7.0	0.2119743377393727	classification
 wine_recognition	178	13	0	0	13	categorical	3.0	0.0125299835879308	classification