Shebanova 2002

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   5  0.853  0.085  0.244  0.634  0.576  0.60
Anderszewski 2003   41  0.6978  0.0058  0.0465  0.0440  0.1976  0.09
Ashkenazy 1981   53  0.6752  0.0039  0.0836  0.2312  0.4336  0.31
Bacha 2000   66  0.6070  0.0062  0.0550  0.0522  0.2667  0.11
Badura 1965   59  0.6687  0.0057  0.0462  0.0420  0.4851  0.14
Barbosa 1983   85  0.4818  0.0169  0.0377  0.0324  0.2277  0.08
Biret 1990   48  0.6956  0.0045  0.0445  0.0820  0.3446  0.16
Blet 2003   38  0.7050  0.0054  0.0376  0.0318  0.3770  0.11
Block 1995   64  0.6373  0.0048  0.0463  0.045  0.4359  0.13
Blumental 1952   71  0.5847  0.0053  0.0466  0.0438  0.1278  0.07
Boshniakovich 1969   19  0.7645  0.0015  0.0825  0.3517  0.5122  0.42
Brailowsky 1960   60  0.6579  0.0071  0.0471  0.0422  0.3168  0.11
Bunin 1987   74  0.5654  0.0068  0.0382  0.0321  0.4172  0.11
Bunin 1987b   76  0.5574  0.0067  0.0380  0.0321  0.4169  0.11
Chiu 1999   67  0.5912  0.0144  0.0544  0.1013  0.3444  0.18
Cohen 1997   88  0.3383  0.0088  0.0473  0.0461  0.0485  0.04
Cortot 1951   42  0.6959  0.0060  0.0458  0.0417  0.4361  0.13
Csalog 1996   79  0.5328  0.0065  0.0469  0.0418  0.3464  0.12
Czerny 1949   15  0.7730  0.0019  0.0813  0.4114  0.5214  0.46
Czerny 1990   18  0.7631  0.0032  0.0535  0.2416  0.3738  0.30
Duchoud 2007   65  0.6243  0.0050  0.0475  0.049  0.4358  0.13
Ezaki 2006   45  0.6941  0.0055  0.0381  0.0329  0.2574  0.09
Falvay 1989   82  0.5127  0.0085  0.0379  0.0348  0.1079  0.05
Farrell 1958   54  0.672  0.0813  0.0940  0.1820  0.4240  0.27
Ferenczy 1958   57  0.6771  0.0063  0.0551  0.0510  0.4448  0.15
Fliere 1977   6  0.8413  0.017  0.257  0.553  0.547  0.54
Fou 1978   51  0.6861  0.0041  0.0543  0.1516  0.3643  0.23
Francois 1956   29  0.7323  0.0043  0.0741  0.172  0.5737  0.31
Friedman 1923   40  0.6969  0.0051  0.0378  0.0322  0.4473  0.11
Friedman 1923b   46  0.6980  0.0049  0.0472  0.0422  0.4560  0.13
Friedman 1930   44  0.6975  0.0061  0.0548  0.0526  0.4150  0.14
Garcia 2007   32  0.7344  0.0038  0.0634  0.2511  0.5230  0.36
Garcia 2007b   22  0.7660  0.0018  0.0824  0.354  0.6115  0.46
Gierzod 1998   2  0.885  0.063  0.222  0.672  0.692  0.68
Gornostaeva 1994   33  0.7266  0.0046  0.0461  0.046  0.4952  0.14
Groot 1988   56  0.6729  0.0047  0.0468  0.048  0.5053  0.14
Harasiewicz 1955   35  0.7217  0.0130  0.0532  0.2721  0.3339  0.30
Hatto 1993   55  0.679  0.0237  0.0931  0.2814  0.4731  0.36
Hatto 1997   49  0.6855  0.0036  0.0730  0.2814  0.4532  0.35
Horowitz 1949   52  0.6767  0.0059  0.0552  0.0518  0.4747  0.15
Indjic 1988   47  0.6957  0.0035  0.0529  0.2914  0.4529  0.36
Kapell 1951   21  0.768  0.0211  0.1610  0.466  0.4218  0.44
Kissin 1993   9  0.8119  0.018  0.139  0.484  0.619  0.54
Kushner 1989   8  0.836  0.0610  0.1511  0.452  0.6211  0.53
Luisada 1991   31  0.7337  0.0020  0.0920  0.3711  0.4128  0.39
Lushtak 2004   36  0.7115  0.0134  0.0533  0.256  0.4333  0.33
Malcuzynski 1961   72  0.5853  0.0078  0.0474  0.0450  0.0582  0.04
Magaloff 1978   61  0.6511  0.0172  0.0556  0.0519  0.3354  0.13
Magin 1975   28  0.7468  0.0017  0.0719  0.378  0.5217  0.44
Michalowski 1933   24  0.7584  0.0031  0.0628  0.3010  0.5326  0.40
Milkina 1970   23  0.7548  0.0042  0.0642  0.1616  0.4142  0.26
Mohovich 1999   10  0.7920  0.0014  0.0812  0.414  0.7210  0.54
Moravec 1969   86  0.4434  0.0086  0.0385  0.0349  0.0680  0.04
Morozova 2008   30  0.7314  0.0127  0.1127  0.327  0.5127  0.40
Neighaus 1950   3  0.877  0.044  0.283  0.651  0.693  0.67
Niedzielski 1931   34  0.7251  0.0040  0.0538  0.2015  0.4835  0.31
Ohlsson 1999   7  0.8310  0.016  0.286  0.601  0.694  0.64
Osinska 1989   14  0.7822  0.0021  0.0722  0.369  0.5516  0.44
Pachmann 1927   62  0.6458  0.0077  0.0554  0.0522  0.3257  0.13
Paderewski 1930   58  0.6688  0.0064  0.0646  0.0621  0.3449  0.14
Perlemuter 1992   17  0.7633  0.0012  0.1015  0.392  0.6412  0.50
Pierdomenico 2008   73  0.5724  0.0075  0.0647  0.066  0.4645  0.17
Poblocka 1999   11  0.7936  0.009  0.148  0.482  0.608  0.54
Rabcewiczowa 1932   43  0.6962  0.0052  0.0464  0.0413  0.3463  0.12
Rachmaninoff 1923   50  0.6826  0.0028  0.0739  0.1915  0.3641  0.26
Rangell 2001   78  0.5321  0.0066  0.0459  0.0418  0.3765  0.12
Richter 1976   70  0.5864  0.0076  0.0457  0.0428  0.4056  0.13
Rosen 1989   12  0.7846  0.0022  0.0921  0.369  0.5121  0.43
Rosenthal 1930   75  0.5685  0.0080  0.0549  0.0552  0.0484  0.04
Rosenthal 1931   81  0.5281  0.0082  0.0388  0.0351  0.0583  0.04
Rosenthal 1931b   80  0.5286  0.0081  0.0387  0.0355  0.0586  0.04
Rosenthal 1931c   83  0.5172  0.0083  0.0386  0.0347  0.0587  0.04
Rosenthal 1931d   84  0.5089  0.0084  0.0383  0.0365  0.0488  0.03
Rossi 2007   87  0.4282  0.0087  0.0384  0.0364  0.0581  0.04
Rubinstein 1939   68  0.5935  0.0074  0.0555  0.0536  0.1775  0.09
Rubinstein 1952   77  0.5416  0.0173  0.0460  0.0428  0.3766  0.12
Rubinstein 1966   63  0.6432  0.0070  0.0470  0.0428  0.3371  0.11
Schilhawsky 1960   16  0.7738  0.0016  0.0717  0.388  0.5813  0.47
Shebanova 2002   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Smith 1975   37  0.7176  0.0056  0.0467  0.0417  0.3662  0.12
Sokolov 2002   39  0.6942  0.0033  0.0637  0.237  0.4534  0.32
Sztompka 1959   4  0.864  0.062  0.185  0.602  0.625  0.61
Tomsic 1995   69  0.5925  0.0079  0.0553  0.0530  0.3455  0.13
Uninsky 1932   25  0.7463  0.0025  0.0923  0.3616  0.4625  0.41
Uninsky 1971   26  0.7440  0.0026  0.1314  0.3915  0.4424  0.41
Wasowski 1980   27  0.7449  0.0029  0.0526  0.336  0.5123  0.41
Zak 1937   13  0.7839  0.0024  0.1116  0.387  0.4919  0.43
Zak 1951   20  0.7677  0.0023  0.0818  0.378  0.4920  0.43
Average   1  0.891  0.431  0.421  0.753  0.631  0.69
Random 1   91  -0.2190  0.0091  0.0191  0.0165  0.0390  0.02
Random 2   89  -0.0765  0.0089  0.0289  0.0268  0.0389  0.02
Random 3   90  -0.1791  0.0090  0.0190  0.0166  0.0491  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).