Shebanova 2002

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   51  0.4129  0.0052  0.0557  0.0530  0.2645  0.11
Anderszewski 2003   47  0.4243  0.0045  0.0745  0.0752  0.0661  0.06
Ashkenazy 1981   19  0.4847  0.0031  0.0922  0.354  0.5511  0.44
Bacha 2000   73  0.3178  0.0079  0.0385  0.0377  0.0380  0.03
Badura 1965   65  0.3587  0.0060  0.0650  0.0641  0.1255  0.08
Barbosa 1983   28  0.4663  0.0040  0.0636  0.2046  0.0940  0.13
Biret 1990   15  0.5026  0.0011  0.1310  0.5632  0.3412  0.44
Blet 2003   82  0.2566  0.0083  0.0383  0.0367  0.0383  0.03
Block 1995   43  0.4340  0.0025  0.0721  0.4120  0.4513  0.43
Blumental 1952   32  0.4611  0.0233  0.0730  0.2741  0.1435  0.19
Boshniakovich 1969   48  0.4164  0.0056  0.0553  0.0579  0.0376  0.04
Brailowsky 1960   60  0.3845  0.0058  0.0467  0.0454  0.0662  0.05
Bunin 1987   41  0.4316  0.0128  0.0826  0.3213  0.4121  0.36
Bunin 1987b   56  0.4075  0.0034  0.0735  0.2118  0.4030  0.29
Chiu 1999   21  0.4819  0.0129  0.0827  0.313  0.5214  0.40
Cohen 1997   69  0.3460  0.0075  0.0475  0.0450  0.0577  0.04
Cortot 1951   74  0.3149  0.0077  0.0558  0.0535  0.2546  0.11
Csalog 1996   59  0.3984  0.0054  0.0652  0.0658  0.0564  0.05
Czerny 1949   49  0.4136  0.0065  0.0472  0.0468  0.0474  0.04
Czerny 1990   10  0.5114  0.0124  0.0729  0.2943  0.1534  0.21
Duchoud 2007   44  0.4327  0.0026  0.0725  0.333  0.6610  0.47
Ezaki 2006   31  0.4628  0.0038  0.0542  0.1461  0.0551  0.08
Falvay 1989   1  0.602  0.232  0.303  0.6522  0.532  0.59
Farrell 1958   53  0.4039  0.0053  0.0555  0.0552  0.0563  0.05
Ferenczy 1958   50  0.4169  0.0050  0.0465  0.0426  0.4241  0.13
Fliere 1977   9  0.5134  0.0010  0.1211  0.5137  0.2620  0.36
Fou 1978   61  0.3867  0.0068  0.0478  0.0479  0.0381  0.03
Francois 1956   64  0.3742  0.0061  0.0560  0.0539  0.1947  0.10
Friedman 1923   72  0.3251  0.0064  0.0468  0.0433  0.2748  0.10
Friedman 1923b   77  0.3085  0.0063  0.0556  0.0533  0.2743  0.12
Friedman 1930   26  0.4733  0.0015  0.1012  0.515  0.683  0.59
Garcia 2007   78  0.2979  0.0071  0.0466  0.0445  0.0665  0.05
Garcia 2007b   58  0.3950  0.0057  0.0554  0.0551  0.0666  0.05
Gierzod 1998   4  0.5515  0.018  0.156  0.6038  0.2717  0.40
Gornostaeva 1994   39  0.4470  0.0046  0.0746  0.0745  0.0859  0.07
Groot 1988   42  0.433  0.089  0.1217  0.4321  0.3219  0.37
Harasiewicz 1955   30  0.4648  0.0044  0.0643  0.1259  0.0556  0.08
Hatto 1993   14  0.5012  0.014  0.125  0.6114  0.517  0.56
Hatto 1997   17  0.4931  0.006  0.128  0.5720  0.458  0.51
Horowitz 1949   75  0.3071  0.0072  0.0747  0.0721  0.3636  0.16
Indjic 1988   13  0.504  0.065  0.214  0.6218  0.506  0.56
Kapell 1951   68  0.3572  0.0076  0.0470  0.0478  0.0382  0.03
Kissin 1993   20  0.4813  0.0121  0.0728  0.3039  0.3128  0.30
Kushner 1989   3  0.5621  0.0112  0.147  0.5840  0.2618  0.39
Luisada 1991   52  0.4124  0.0151  0.0462  0.0440  0.1852  0.08
Lushtak 2004   2  0.561  0.231  0.231  0.689  0.581  0.63
Malcuzynski 1961   35  0.4525  0.0136  0.0633  0.2561  0.0544  0.11
Magaloff 1978   12  0.5110  0.0218  0.1018  0.4325  0.3715  0.40
Magin 1975   33  0.4580  0.0032  0.0734  0.2547  0.0839  0.14
Michalowski 1933   86  0.1181  0.0086  0.0387  0.0377  0.0288  0.02
Milkina 1970   23  0.4761  0.0042  0.0740  0.1668  0.0550  0.09
Mohovich 1999   25  0.4717  0.0119  0.1016  0.4436  0.2129  0.30
Moravec 1969   29  0.4652  0.0047  0.0648  0.0653  0.0760  0.06
Morozova 2008   40  0.447  0.0437  0.0641  0.1544  0.1042  0.12
Neighaus 1950   46  0.4365  0.0048  0.0649  0.0615  0.4437  0.16
Niedzielski 1931   81  0.2653  0.0073  0.0559  0.0541  0.1158  0.07
Ohlsson 1999   18  0.4932  0.0020  0.1014  0.4714  0.499  0.48
Osinska 1989   5  0.545  0.053  0.212  0.6728  0.484  0.57
Pachmann 1927   83  0.2556  0.0082  0.0382  0.0358  0.0572  0.04
Paderewski 1930   87  0.0988  0.0087  0.0384  0.0385  0.0287  0.02
Perlemuter 1992   55  0.4020  0.0127  0.0837  0.208  0.5024  0.32
Pierdomenico 2008   62  0.3768  0.0067  0.0469  0.0439  0.2049  0.09
Poblocka 1999   11  0.5138  0.0030  0.1024  0.3344  0.1431  0.21
Rabcewiczowa 1932   36  0.4558  0.0017  0.0919  0.4129  0.2922  0.34
Rachmaninoff 1923   71  0.3257  0.0043  0.0644  0.1266  0.0457  0.07
Rangell 2001   22  0.4735  0.0022  0.0632  0.2624  0.4026  0.32
Richter 1976   57  0.3944  0.0066  0.0464  0.0459  0.0471  0.04
Rosen 1989   8  0.526  0.047  0.149  0.5710  0.585  0.57
Rosenthal 1930   80  0.2659  0.0081  0.0480  0.0462  0.0475  0.04
Rosenthal 1931   84  0.2373  0.0085  0.0476  0.0464  0.0473  0.04
Rosenthal 1931b   79  0.2782  0.0080  0.0477  0.0474  0.0478  0.04
Rosenthal 1931c   67  0.3583  0.0062  0.0471  0.0460  0.0579  0.04
Rosenthal 1931d   85  0.2389  0.0084  0.0386  0.0380  0.0386  0.03
Rossi 2007   70  0.3241  0.0078  0.0481  0.0461  0.0568  0.04
Rubinstein 1939   54  0.4023  0.0159  0.0474  0.0467  0.0470  0.04
Rubinstein 1952   7  0.529  0.0214  0.0915  0.4636  0.2227  0.32
Rubinstein 1966   6  0.5318  0.0113  0.0813  0.5143  0.2223  0.33
Schilhawsky 1960   38  0.4430  0.0049  0.0473  0.0441  0.1854  0.08
Shebanova 2002   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Smith 1975   66  0.3586  0.0069  0.0463  0.0462  0.0569  0.04
Sokolov 2002   63  0.3746  0.0070  0.0561  0.0567  0.0367  0.04
Sztompka 1959   45  0.4376  0.0055  0.0651  0.0643  0.1153  0.08
Tomsic 1995   37  0.4462  0.0039  0.0539  0.1729  0.2632  0.21
Uninsky 1932   76  0.3054  0.0074  0.0479  0.0471  0.0384  0.03
Uninsky 1971   24  0.478  0.0335  0.0631  0.2742  0.1633  0.21
Wasowski 1980   34  0.4522  0.0141  0.0738  0.1943  0.1238  0.15
Zak 1937   16  0.4937  0.0016  0.0920  0.4127  0.4016  0.40
Zak 1951   27  0.4655  0.0023  0.0923  0.3428  0.3125  0.32
Random 1   90  -0.1574  0.0090  0.0190  0.0182  0.0289  0.01
Random 2   88  0.0177  0.0088  0.0288  0.0256  0.0485  0.03
Random 3   89  -0.1390  0.0089  0.0189  0.0182  0.0290  0.01

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).