Shebanova 2002

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   7  0.718  0.015  0.157  0.614  0.637  0.62
Anderszewski 2003   41  0.5959  0.0059  0.0473  0.0442  0.2274  0.09
Ashkenazy 1981   34  0.6152  0.0023  0.0823  0.377  0.5724  0.46
Bacha 2000   75  0.4866  0.0075  0.0471  0.0436  0.1775  0.08
Badura 1965   57  0.5570  0.0060  0.0472  0.0422  0.4265  0.13
Barbosa 1983   74  0.4944  0.0071  0.0562  0.0538  0.1873  0.09
Biret 1990   30  0.6249  0.0032  0.0635  0.2617  0.4336  0.33
Blet 2003   78  0.4867  0.0078  0.0747  0.0759  0.0582  0.06
Block 1995   53  0.5641  0.0045  0.0644  0.128  0.5542  0.26
Blumental 1952   59  0.5421  0.0048  0.0557  0.0530  0.2368  0.11
Boshniakovich 1969   21  0.6481  0.0025  0.0828  0.3129  0.4229  0.36
Brailowsky 1960   72  0.5071  0.0077  0.0651  0.0636  0.2763  0.13
Bunin 1987   73  0.5020  0.0067  0.0558  0.058  0.5049  0.16
Bunin 1987b   76  0.4860  0.0068  0.0564  0.0512  0.4854  0.15
Chiu 1999   50  0.5713  0.0144  0.0645  0.112  0.5444  0.24
Cohen 1997   88  0.3584  0.0087  0.0386  0.0369  0.0388  0.03
Cortot 1951   69  0.5145  0.0076  0.0563  0.0524  0.4459  0.15
Csalog 1996   77  0.4887  0.0066  0.0553  0.0529  0.2966  0.12
Czerny 1949   26  0.6330  0.0033  0.0625  0.3631  0.4028  0.38
Czerny 1990   14  0.6618  0.0024  0.0829  0.3029  0.3834  0.34
Duchoud 2007   58  0.5431  0.0046  0.0561  0.053  0.6547  0.18
Ezaki 2006   36  0.6061  0.0058  0.0478  0.0445  0.1278  0.07
Falvay 1989   47  0.5714  0.0154  0.0475  0.0434  0.3067  0.11
Farrell 1958   45  0.5838  0.0039  0.0539  0.2126  0.4140  0.29
Ferenczy 1958   61  0.5455  0.0056  0.0477  0.0417  0.4464  0.13
Fliere 1977   8  0.7136  0.004  0.136  0.615  0.5410  0.57
Fou 1978   51  0.5768  0.0050  0.0556  0.0540  0.1771  0.09
Francois 1956   46  0.5843  0.0057  0.0479  0.045  0.6251  0.16
Friedman 1923   54  0.5547  0.0063  0.0554  0.0521  0.4560  0.15
Friedman 1923b   55  0.5589  0.0062  0.0559  0.0525  0.4457  0.15
Friedman 1930   37  0.5953  0.0052  0.0650  0.069  0.5546  0.18
Garcia 2007   66  0.5282  0.0064  0.0649  0.0619  0.4848  0.17
Garcia 2007b   42  0.5948  0.0034  0.0536  0.2510  0.5330  0.36
Gierzod 1998   2  0.763  0.032  0.472  0.745  0.712  0.72
Gornostaeva 1994   33  0.6156  0.0047  0.0555  0.0515  0.5250  0.16
Groot 1988   52  0.5772  0.0031  0.0727  0.326  0.4827  0.39
Harasiewicz 1955   24  0.6319  0.0029  0.0831  0.3031  0.4032  0.35
Hatto 1993   31  0.6224  0.0015  0.1514  0.5210  0.5116  0.51
Hatto 1997   28  0.6233  0.0016  0.1116  0.5011  0.5020  0.50
Horowitz 1949   68  0.5273  0.0070  0.0566  0.0520  0.4856  0.15
Indjic 1988   27  0.6322  0.0014  0.1113  0.539  0.5215  0.52
Kapell 1951   43  0.5877  0.0049  0.0648  0.0643  0.1472  0.09
Kissin 1993   9  0.7111  0.017  0.154  0.625  0.694  0.65
Kushner 1989   3  0.724  0.029  0.168  0.578  0.639  0.60
Luisada 1991   35  0.6134  0.0036  0.0738  0.2313  0.4735  0.33
Lushtak 2004   17  0.656  0.0217  0.1411  0.544  0.708  0.61
Malcuzynski 1961   62  0.5446  0.0074  0.0846  0.0865  0.0481  0.06
Magaloff 1978   38  0.595  0.0241  0.0741  0.159  0.4641  0.26
Magin 1975   19  0.6575  0.0013  0.1019  0.469  0.5417  0.50
Michalowski 1933   70  0.5190  0.0065  0.0470  0.0413  0.4862  0.14
Milkina 1970   20  0.6450  0.0037  0.0633  0.2734  0.3338  0.30
Mohovich 1999   23  0.6310  0.0128  0.0824  0.3715  0.6023  0.47
Moravec 1969   81  0.4439  0.0081  0.0382  0.0359  0.0584  0.04
Morozova 2008   22  0.632  0.0422  0.1022  0.3711  0.5025  0.43
Neighaus 1950   6  0.7127  0.008  0.169  0.573  0.715  0.64
Niedzielski 1931   56  0.5569  0.0051  0.0567  0.0518  0.4553  0.15
Ohlsson 1999   4  0.729  0.013  0.293  0.672  0.753  0.71
Osinska 1989   11  0.6712  0.0111  0.1312  0.5412  0.6111  0.57
Pachmann 1927   79  0.4537  0.0084  0.0383  0.0337  0.2277  0.08
Paderewski 1930   84  0.4191  0.0079  0.0480  0.0439  0.1576  0.08
Perlemuter 1992   32  0.6117  0.0126  0.0926  0.342  0.6522  0.47
Pierdomenico 2008   71  0.5064  0.0069  0.0568  0.0514  0.4752  0.15
Poblocka 1999   10  0.6942  0.0010  0.1410  0.547  0.6112  0.57
Rabcewiczowa 1932   39  0.5962  0.0035  0.0637  0.248  0.5231  0.35
Rachmaninoff 1923   60  0.5416  0.0130  0.0732  0.2722  0.3239  0.29
Rangell 2001   67  0.5223  0.0055  0.0560  0.0514  0.4658  0.15
Richter 1976   64  0.5357  0.0072  0.0565  0.0531  0.4261  0.14
Rosen 1989   12  0.6732  0.0012  0.1015  0.5010  0.6014  0.55
Rosenthal 1930   82  0.4376  0.0082  0.0387  0.0345  0.1083  0.05
Rosenthal 1931   86  0.4078  0.0086  0.0385  0.0356  0.0685  0.04
Rosenthal 1931b   83  0.4283  0.0083  0.0384  0.0342  0.1679  0.07
Rosenthal 1931c   80  0.4479  0.0080  0.0381  0.0340  0.1780  0.07
Rosenthal 1931d   87  0.3888  0.0088  0.0476  0.0453  0.0586  0.04
Rossi 2007   85  0.4063  0.0085  0.0288  0.0283  0.0389  0.02
Rubinstein 1939   63  0.5415  0.0153  0.0469  0.0435  0.2770  0.10
Rubinstein 1952   49  0.577  0.0140  0.0640  0.1812  0.5537  0.31
Rubinstein 1966   29  0.6258  0.0038  0.0534  0.2625  0.4533  0.34
Schilhawsky 1960   15  0.6628  0.0019  0.1417  0.483  0.6413  0.55
Shebanova 2002   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Smith 1975   48  0.5765  0.0061  0.0474  0.0428  0.2769  0.10
Sokolov 2002   40  0.5926  0.0042  0.0642  0.1515  0.4343  0.25
Sztompka 1959   5  0.7251  0.006  0.145  0.625  0.656  0.63
Tomsic 1995   65  0.5335  0.0073  0.0552  0.0523  0.4655  0.15
Uninsky 1932   44  0.5854  0.0043  0.0543  0.1323  0.4645  0.24
Uninsky 1971   16  0.6529  0.0021  0.1320  0.4517  0.5619  0.50
Wasowski 1980   25  0.6325  0.0027  0.0830  0.306  0.5826  0.42
Zak 1937   13  0.6740  0.0018  0.1418  0.4611  0.5418  0.50
Zak 1951   18  0.6574  0.0020  0.1321  0.4413  0.5221  0.48
Average   1  0.811  0.701  0.701  0.856  0.631  0.73
Random 1   91  -0.1580  0.0091  0.0191  0.0185  0.0291  0.01
Random 2   89  -0.0485  0.0089  0.0289  0.0258  0.0487  0.03
Random 3   90  -0.1286  0.0090  0.0190  0.0171  0.0490  0.02

Note: To load data table give above into Excel, copy and paste the data into a text editor (such as WordPad) first, then copy the text in the editor and past into Excel. You should remove the "target" line from the data before pasting into Excel so that plotting graphs of the data is done properly.

Column descriptions

  • Performance:
  • 0-Rank/0-Score: 0-Score is equivalent to Pearson correlation of the entire data sequence between the reference performance and a test performance. 0-Rank is the sorting order of the 0-scores (highest score has a rank of 1).
  • 1-Rank/1-Score: 1-Score is the area fraction covered by a particular performance in the scape plot (see image above). These values should not be taken literally, since they are sensitive to the Hatto Effect.
  • 2-Rank/2-Score: 2-Score values are equivalent to 1-Score values with all higher-ranking performances removed before the calculation of the area of coverage in the scape is calculated. Improvment over the 1-Rank scores, but still somewhat sensitive to the Hatto Effect.
  • 3-Rank/3-Score: Similar to 2-Rank calculations. The bottom 1/2 of the 2-rank performances are kept constant as a noise floor for the similarity measurement. Then one-by-one the top 1/2 of the 2-rank performances are superimposed with the noise-floor performances, and a 3-score is measured as the area covered in the scape. This measure is not sentisive to the Hatto Effect.
  • 3R-Rank/3R-Score: Reverse 3-rank/3-scores. 3-rankings and scores are not symmetric (A->B values are different from B->A values). So this column represents similarity measures in the opposite direction.
  • 4-Rank/4-Score: The geometric mean between 3-scores and 3R-scores. This column gives the best overall similarity ranking between the various performances (see color codes below).
  • NED: Noise Equivalient Distance (not yet implemented)

Color codes for 3-rank listings:

  • red = strongly similar performance to target
  • orange = moderately similar performance
  • yellow = weakly similar performance
  • green = marginally similar/dissimilar performance
  • white = dissimilar to target
  • blue = false positive (has high 3-rank score but low 3R-rank score)

3-rank/scores are not symmetric, so the 3R-rank/score columns give the 3-rank/scores going in the opposite direction. More matches in the 3-rank column than in the 3R-rank column indicates an individualistic performance, while more matches in the 3R-rank column indicates a mainstream performance.

If a 3-rank and a 3R-rank are both marked as similar to each other, then there is a possible direct relation between the performances. If one is similar to the other but not in the reverse direction, then the similarity is more likely to be by chance (performers randomly chose a similar interpretation).