Spambase

Name: Spambase
Creator: Helix
Keywords: dataset, format:csv, hugging face, language:en, license:cc, security, size_categories:1K<n<10K, task_categories:tabular-classification

Hugging Face

Spambase The Spambase dataset from the UCI ML repository. Is the given mail spam? Configurations and tasks Configuration Task Description spambase Binary classification Is the mail spam? Usage from datasets import load_dataset dataset = load_dataset("mstz/spambase")["train"]

mstz--spambase.parquet 500 rows mstz/spambase

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scatter word_freq_make vs word_freq_address correlation heatmap of all numeric columns summary charts for the Spambase dataset top 10 rows of Spambase with key statistics

Data preview

500 rows · 58 columns · showing first 12

#	word_freq_make float	word_freq_address float	word_freq_all float	word_freq_our float	word_freq_over float	word_freq_remove float	word_freq_internet float	word_freq_order float	word_freq_mail float	word_freq_receive float	word_freq_will float	word_freq_people float	word_freq_report float	word_freq_addresses float	word_freq_free float	word_freq_business float	word_freq_email float	word_freq_you float	word_freq_credit float	word_freq_your float	word_freq_000 float	word_freq_money float	word_freq_data float	word_freq_1999 float	word_freq_direct float	word_freq_original float	word_freq_project float	word_freq_re float	word_freq_edu float	char_freq_; float	char_freq_( float	char_freq_! float	char_freq_$ float	char_freq_# float	capital_run_length_average float	capital_run_length_longest float	capital_run_length_total float	is_spam integer
1	0	0.64	0.64	0.32	0	0	0	0	0	0	0.64	0	0	0	0.32	0	1.29	1.93	0	0.96	0	0	0	0	0	0	0	0	0	0	0	0.778	0	0	3.756	61	278	1
2	0.21	0.28	0.5	0.14	0.28	0.21	0.07	0	0.94	0.21	0.79	0.65	0.21	0.14	0.14	0.07	0.28	3.47	0	1.59	0.43	0.43	0	0.07	0	0	0	0	0	0	0.132	0.372	0.18	0.048	5.114	101	1028	1
3	0.06	0	0.71	1.23	0.19	0.19	0.12	0.64	0.25	0.38	0.45	0.12	0	1.75	0.06	0.06	1.03	1.36	0.32	0.51	1.16	0.06	0	0	0.06	0.12	0	0.06	0.06	0.01	0.143	0.276	0.184	0.01	9.821	485	2259	1
4	0	0	0	0.63	0	0.31	0.63	0.31	0.63	0.31	0.31	0.31	0	0	0.31	0	0	3.18	0	0.31	0	0	0	0	0	0	0	0	0	0	0.137	0.137	0	0	3.537	40	191	1
5	0	0	0	0.63	0	0.31	0.63	0.31	0.63	0.31	0.31	0.31	0	0	0.31	0	0	3.18	0	0.31	0	0	0	0	0	0	0	0	0	0	0.135	0.135	0	0	3.537	40	191	1
6	0	0	0	1.85	0	0	1.85	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.223	0	0	0	3	15	54	1
7	0	0	0	1.92	0	0	0	0	0.64	0.96	1.28	0	0	0	0.96	0	0.32	3.85	0	0.64	0	0	0	0	0	0	0	0	0	0	0.054	0.164	0.054	0	1.671	4	112	1
8	0	0	0	1.88	0	0	1.88	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.206	0	0	0	2.45	11	49	1
9	0.15	0	0.46	0.61	0	0.3	0	0.92	0.76	0.76	0.92	0	0	0	0	0	0.15	1.23	3.53	2	0	0.15	0.15	0	0	0.3	0	0	0	0	0.271	0.181	0.203	0.022	9.744	445	1257	1
10	0.06	0.12	0.77	0.19	0.32	0.38	0	0.06	0	0	0.64	0.25	0	0.12	0	0	0.12	1.67	0.06	0.71	0.19	0	0	0	0	0	0.06	0	0	0.04	0.03	0.244	0.081	0	1.729	43	749	1
11	0	0	0	0	0	0.96	0	0	1.92	0.96	0	0	0	0	0	0	0.96	3.84	0	0.96	0	0	0	0	0.96	0	0	0	0	0	0	0.462	0	0	1.312	6	21	1
12	0	0	0.25	0.38	0.25	0.25	0	0	0	0.12	0.12	0.12	0	0	0	0	0	1.16	0	0.77	0	0	0	0	0	0	0	0	0	0.022	0.044	0.663	0	0	1.243	11	184	1

Auto-generated charts

Spambase: 500 rows by 58 columns. These exploratory charts are generated automatically from the data - open the dataset in Helix to ask your own questions.

Rows500

Columns58

Numeric cols58

Charts

word_freq_make vs word_freq_address

Relationship between word_freq_make and word_freq_address.

Distribution of word_freq_make

Histogram of word_freq_make values.

Correlation of numeric columns

Pearson correlation between numeric columns.

Interesting queries to try

Columns

word_freq_make numeric
word_freq_address numeric
word_freq_all numeric
word_freq_3d numeric
word_freq_our numeric
word_freq_over numeric
word_freq_remove numeric
word_freq_internet numeric
word_freq_order numeric
word_freq_mail numeric
word_freq_receive numeric
word_freq_will numeric
word_freq_people numeric
word_freq_report numeric
word_freq_addresses numeric
word_freq_free numeric
word_freq_business numeric
word_freq_email numeric
word_freq_you numeric
word_freq_credit numeric
word_freq_your numeric
word_freq_font numeric
word_freq_000 numeric
word_freq_money numeric
word_freq_hp numeric
word_freq_hpl numeric
word_freq_george numeric
word_freq_650 numeric
word_freq_lab numeric
word_freq_labs numeric
word_freq_telnet numeric
word_freq_857 numeric
word_freq_data numeric
word_freq_415 numeric
word_freq_85 numeric
word_freq_technology numeric
word_freq_1999 numeric
word_freq_parts numeric
word_freq_pm numeric
word_freq_direct numeric
word_freq_cs numeric
word_freq_meeting numeric
word_freq_original numeric
word_freq_project numeric
word_freq_re numeric
word_freq_edu numeric
word_freq_table numeric
word_freq_conference numeric
char_freq_; numeric
char_freq_( numeric
char_freq_[ numeric
char_freq_! numeric
char_freq_$ numeric
char_freq_# numeric
capital_run_length_average numeric
capital_run_length_longest numeric
capital_run_length_total numeric
is_spam numeric