HSDP: A Hybrid Sampling Method for Imbalanced Big Data Based on Data Partition

Table 1

Dataset information.

Dataset	Samples	Attributes	Classes	Imbalance ratio
Pima	768	8	{Negative, positive}	1.87
Yeast3	1484	8	{Negative, positive}	8.1
Abalone19	4174	8	{Negative, positive}	129.44
Segment0	2308	19	{Negative, positive}	6.02
Page-blocks0	5472	10	{Negative, positive}	8.79
Glass5	214	9	{Negative, positive}	22.78
Ecoli4	336	7	{Negative, positive}	15.8
Haberman	306	3	{Negative: “1” other, positive: “2”}	2.78