Shebanova 2002

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   61  0.3558  0.0065  0.0661  0.0641  0.1459  0.09
Anderszewski 2003   68  0.3164  0.0064  0.0657  0.0653  0.0766  0.06
Ashkenazy 1981   2  0.603  0.125  0.343  0.781  0.852  0.81
Bacha 2000   60  0.3579  0.0066  0.0654  0.0623  0.3255  0.14
Badura 1965   62  0.3476  0.0060  0.0846  0.0819  0.4047  0.18
Barbosa 1983   33  0.4441  0.0038  0.0833  0.3327  0.3537  0.34
Biret 1990   67  0.3245  0.0070  0.0660  0.0653  0.0575  0.05
Blet 2003   57  0.3738  0.0056  0.0751  0.0730  0.3550  0.16
Block 1995   18  0.4832  0.0013  0.1011  0.574  0.7111  0.64
Blumental 1952   41  0.4225  0.0031  0.1031  0.3418  0.5031  0.41
Boshniakovich 1969   24  0.4633  0.0036  0.0630  0.3526  0.3535  0.35
Brailowsky 1960   78  0.2560  0.0076  0.0663  0.0669  0.0568  0.05
Bunin 1987   40  0.4337  0.0024  0.1027  0.403  0.6525  0.51
Bunin 1987b   46  0.4146  0.0030  0.1032  0.345  0.5928  0.45
Chiu 1999   7  0.5417  0.018  0.226  0.691  0.775  0.73
Cohen 1997   73  0.2971  0.0078  0.0577  0.0554  0.0574  0.05
Cortot 1951   76  0.2631  0.0077  0.0482  0.0459  0.0676  0.05
Csalog 1996   54  0.3986  0.0053  0.0668  0.0621  0.3456  0.14
Czerny 1949   83  0.1939  0.0087  0.0384  0.0382  0.0384  0.03
Czerny 1990   5  0.5519  0.009  0.178  0.688  0.758  0.71
Duchoud 2007   30  0.4416  0.0128  0.0825  0.453  0.7217  0.57
Ezaki 2006   63  0.3447  0.0067  0.0667  0.0650  0.0862  0.07
Falvay 1989   23  0.4652  0.0039  0.0835  0.3133  0.2939  0.30
Farrell 1958   74  0.2961  0.0072  0.0666  0.0659  0.0665  0.06
Ferenczy 1958   84  0.1883  0.0083  0.0385  0.0369  0.0483  0.03
Fliere 1977   4  0.587  0.064  0.222  0.793  0.753  0.77
Fou 1978   34  0.4484  0.0040  0.0837  0.2830  0.3340  0.30
Francois 1956   81  0.2380  0.0080  0.0479  0.0481  0.0388  0.03
Friedman 1923   28  0.4513  0.0122  0.1022  0.486  0.6914  0.58
Friedman 1923b   32  0.4415  0.0121  0.0923  0.4611  0.6222  0.53
Friedman 1930   10  0.535  0.077  0.269  0.664  0.729  0.69
Garcia 2007   59  0.3655  0.0043  0.0743  0.1614  0.4942  0.28
Garcia 2007b   39  0.4350  0.0032  0.0829  0.378  0.6726  0.50
Gierzod 1998   49  0.4172  0.0041  0.0739  0.2429  0.2943  0.26
Gornostaeva 1994   69  0.3057  0.0075  0.0655  0.0670  0.0380  0.04
Groot 1988   14  0.4910  0.0210  0.1715  0.534  0.6019  0.56
Harasiewicz 1955   36  0.4474  0.0049  0.0574  0.0554  0.0677  0.05
Hatto 1993   6  0.552  0.162  0.165  0.703  0.756  0.72
Hatto 1997   48  0.4165  0.0029  0.0928  0.3821  0.4530  0.41
Horowitz 1949   52  0.3943  0.0058  0.0656  0.0614  0.5546  0.18
Indjic 1988   9  0.546  0.073  0.187  0.684  0.747  0.71
Kapell 1951   35  0.4427  0.0045  0.0658  0.0646  0.0863  0.07
Kissin 1993   3  0.601  0.221  0.221  0.791  0.871  0.83
Kushner 1989   1  0.614  0.096  0.394  0.771  0.764  0.76
Luisada 1991   22  0.4712  0.0125  0.0919  0.5110  0.5721  0.54
Lushtak 2004   21  0.4766  0.0023  0.0921  0.486  0.6518  0.56
Malcuzynski 1961   16  0.498  0.0216  0.0918  0.5212  0.5323  0.52
Magaloff 1978   15  0.4924  0.0018  0.1117  0.525  0.6315  0.57
Magin 1975   17  0.4928  0.0020  0.0916  0.528  0.6613  0.59
Michalowski 1933   72  0.2981  0.0062  0.0664  0.0627  0.3653  0.15
Milkina 1970   71  0.3062  0.0068  0.0573  0.0558  0.0572  0.05
Mohovich 1999   56  0.3751  0.0059  0.0945  0.0940  0.1060  0.09
Moravec 1969   42  0.4226  0.0051  0.0572  0.0534  0.2657  0.11
Morozova 2008   19  0.4823  0.0017  0.1224  0.4518  0.5027  0.47
Neighaus 1950   37  0.4342  0.0046  0.0753  0.0720  0.4249  0.17
Niedzielski 1931   50  0.4059  0.0033  0.0640  0.224  0.6134  0.37
Ohlsson 1999   12  0.509  0.0212  0.1414  0.544  0.6116  0.57
Osinska 1989   55  0.3830  0.0057  0.0570  0.0555  0.0567  0.05
Pachmann 1927   47  0.4135  0.0047  0.0749  0.0711  0.5545  0.20
Paderewski 1930   66  0.3277  0.0063  0.0750  0.0727  0.4348  0.17
Perlemuter 1992   29  0.4511  0.0227  0.0934  0.315  0.6229  0.44
Pierdomenico 2008   31  0.4463  0.0042  0.0742  0.172  0.6936  0.34
Poblocka 1999   26  0.4629  0.0034  0.0736  0.2924  0.4633  0.37
Rabcewiczowa 1932   75  0.2848  0.0073  0.0576  0.0565  0.0571  0.05
Rachmaninoff 1923   64  0.3473  0.0061  0.0847  0.0846  0.0861  0.08
Rangell 2001   45  0.4282  0.0052  0.0662  0.0626  0.4551  0.16
Richter 1976   8  0.5414  0.0111  0.1410  0.608  0.7110  0.65
Rosen 1989   20  0.4736  0.0019  0.0812  0.547  0.5620  0.55
Rosenthal 1930   82  0.2288  0.0082  0.0386  0.0375  0.0485  0.03
Rosenthal 1931   86  0.1587  0.0085  0.0483  0.0481  0.0382  0.03
Rosenthal 1931b   85  0.1778  0.0084  0.0481  0.0466  0.0481  0.04
Rosenthal 1931c   77  0.2675  0.0074  0.0669  0.0662  0.0478  0.05
Rosenthal 1931d   87  0.1390  0.0086  0.0387  0.0382  0.0387  0.03
Rossi 2007   80  0.2349  0.0081  0.0480  0.0452  0.0670  0.05
Rubinstein 1939   70  0.3068  0.0069  0.0752  0.0753  0.0564  0.06
Rubinstein 1952   44  0.4267  0.0050  0.0575  0.0539  0.2158  0.10
Rubinstein 1966   25  0.4656  0.0026  0.0926  0.4432  0.2338  0.32
Schilhawsky 1960   58  0.3718  0.0155  0.0659  0.0619  0.3854  0.15
Shebanova 2002   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Smith 1975   79  0.2485  0.0079  0.0478  0.0469  0.0479  0.04
Sokolov 2002   65  0.3221  0.0071  0.0571  0.0558  0.0569  0.05
Sztompka 1959   11  0.5234  0.0014  0.1013  0.549  0.6712  0.60
Tomsic 1995   43  0.4244  0.0044  0.0844  0.1519  0.4044  0.24
Uninsky 1932   27  0.4554  0.0037  0.0738  0.2716  0.5332  0.38
Uninsky 1971   53  0.3920  0.0048  0.0665  0.0659  0.0573  0.05
Wasowski 1980   13  0.5022  0.0015  0.1120  0.5015  0.5324  0.51
Zak 1937   38  0.4340  0.0035  0.0741  0.1916  0.4641  0.30
Zak 1951   51  0.4053  0.0054  0.0748  0.0724  0.3452  0.15
Random 1   89  -0.0369  0.0088  0.0288  0.0245  0.0586  0.03
Random 2   88  -0.0189  0.0089  0.0189  0.0176  0.0389  0.02
Random 3   90  -0.0570  0.0090  0.0190  0.0179  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).