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Otto-Group-Product-Classification-Challenge

active ARFF Unknown Visibility: public Uploaded 02-06-2023 by Shelby Padilla
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## Overview The Otto Group is one of the world's biggest e-commerce companies, with subsidiaries in more than 20 countries, including Crate & Barrel (USA), Otto.de (Germany) and 3 Suisses (France). We are selling millions of products worldwide every day, with several thousand products being added to our product line. A consistent analysis of the performance of our products is crucial. However, due to our diverse global infrastructure, many identical products get classified differently. Therefore, the quality of our product analysis depends heavily on the ability to accurately cluster similar products. The better the classification, the more insights we can generate about our product range. For this competition, we have provided a dataset with 93 features for more than 200,000 products. The objective is to build a predictive model which is able to distinguish between our main product categories. The winning models will be open sourced. ## Data description Each row corresponds to a single product. There are a total of 93 numerical features, which represent counts of different events. All features have been obfuscated and will not be defined any further. There are nine categories for all products. Each target category represents one of our most important product categories (like fashion, electronics, etc.). The products for the training and testing sets are selected randomly. ### Data fields * id - an anonymous id unique to a product * feat_1, feat_2, ..., feat_93 - the various features of a product * target - the class of a product Notes by Uploader to OpenML * This is only the training set. The test set is not publicly available.

94 features

target (target)	nominal	9 unique values 0 missing
feat_70	numeric	35 unique values 0 missing
feat_48	numeric	47 unique values 0 missing
feat_69	numeric	65 unique values 0 missing
feat_68	numeric	39 unique values 0 missing
feat_67	numeric	72 unique values 0 missing
feat_66	numeric	34 unique values 0 missing
feat_65	numeric	25 unique values 0 missing
feat_64	numeric	49 unique values 0 missing
feat_63	numeric	28 unique values 0 missing
feat_62	numeric	40 unique values 0 missing
feat_61	numeric	23 unique values 0 missing
feat_60	numeric	39 unique values 0 missing
feat_59	numeric	63 unique values 0 missing
feat_58	numeric	87 unique values 0 missing
feat_57	numeric	27 unique values 0 missing
feat_56	numeric	54 unique values 0 missing
feat_55	numeric	26 unique values 0 missing
feat_54	numeric	53 unique values 0 missing
feat_53	numeric	42 unique values 0 missing
feat_52	numeric	36 unique values 0 missing
feat_51	numeric	22 unique values 0 missing
feat_50	numeric	56 unique values 0 missing
feat_49	numeric	35 unique values 0 missing
feat_47	numeric	39 unique values 0 missing
feat_82	numeric	23 unique values 0 missing
feat_93	numeric	43 unique values 0 missing
feat_92	numeric	19 unique values 0 missing
feat_91	numeric	50 unique values 0 missing
feat_90	numeric	91 unique values 0 missing
feat_89	numeric	37 unique values 0 missing
feat_88	numeric	31 unique values 0 missing
feat_87	numeric	49 unique values 0 missing
feat_86	numeric	52 unique values 0 missing
feat_85	numeric	42 unique values 0 missing
feat_84	numeric	42 unique values 0 missing
feat_83	numeric	57 unique values 0 missing
feat_71	numeric	28 unique values 0 missing
feat_81	numeric	19 unique values 0 missing
feat_80	numeric	41 unique values 0 missing
feat_79	numeric	22 unique values 0 missing
feat_78	numeric	70 unique values 0 missing
feat_77	numeric	24 unique values 0 missing
feat_76	numeric	61 unique values 0 missing
feat_75	numeric	70 unique values 0 missing
feat_74	numeric	101 unique values 0 missing
feat_73	numeric	115 unique values 0 missing
feat_72	numeric	31 unique values 0 missing
feat_12	numeric	20 unique values 0 missing
feat_23	numeric	24 unique values 0 missing
feat_22	numeric	21 unique values 0 missing
feat_21	numeric	15 unique values 0 missing
feat_20	numeric	27 unique values 0 missing
feat_19	numeric	105 unique values 0 missing
feat_18	numeric	30 unique values 0 missing
feat_17	numeric	40 unique values 0 missing
feat_16	numeric	28 unique values 0 missing
feat_15	numeric	37 unique values 0 missing
feat_14	numeric	32 unique values 0 missing
feat_13	numeric	51 unique values 0 missing
feat_24	numeric	66 unique values 0 missing
feat_11	numeric	28 unique values 0 missing
feat_10	numeric	26 unique values 0 missing
feat_9	numeric	40 unique values 0 missing
feat_8	numeric	55 unique values 0 missing
feat_7	numeric	30 unique values 0 missing
feat_6	numeric	9 unique values 0 missing
feat_5	numeric	15 unique values 0 missing
feat_4	numeric	59 unique values 0 missing
feat_3	numeric	48 unique values 0 missing
feat_2	numeric	37 unique values 0 missing
feat_1	numeric	42 unique values 0 missing
feat_35	numeric	78 unique values 0 missing
feat_46	numeric	39 unique values 0 missing
feat_45	numeric	76 unique values 0 missing
feat_44	numeric	26 unique values 0 missing
feat_43	numeric	28 unique values 0 missing
feat_42	numeric	39 unique values 0 missing
feat_41	numeric	31 unique values 0 missing
feat_40	numeric	41 unique values 0 missing
feat_39	numeric	77 unique values 0 missing
feat_38	numeric	36 unique values 0 missing
feat_37	numeric	18 unique values 0 missing
feat_36	numeric	58 unique values 0 missing
id (row identifier)	numeric	61878 unique values 0 missing
feat_34	numeric	49 unique values 0 missing
feat_33	numeric	20 unique values 0 missing
feat_32	numeric	40 unique values 0 missing
feat_31	numeric	29 unique values 0 missing
feat_30	numeric	51 unique values 0 missing
feat_29	numeric	50 unique values 0 missing
feat_28	numeric	21 unique values 0 missing
feat_27	numeric	55 unique values 0 missing
feat_26	numeric	31 unique values 0 missing
feat_25	numeric	28 unique values 0 missing