Malcuzynski 1961

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   77  0.3354  0.0087  0.0283  0.0282  0.0391  0.02
Anderszewski 2003   10  0.574  0.034  0.226  0.6410  0.636  0.63
Ashkenazy 1981   70  0.3589  0.0076  0.0468  0.0477  0.0385  0.03
Bacha 2000   50  0.4548  0.0057  0.0470  0.049  0.5156  0.14
Badura 1965   60  0.4160  0.0040  0.0843  0.1616  0.4543  0.27
Barbosa 1983   13  0.5644  0.0016  0.1318  0.5222  0.4825  0.50
Biret 1990   38  0.4949  0.0039  0.0935  0.3036  0.2840  0.29
Blet 2003   76  0.3361  0.0085  0.0288  0.0271  0.0389  0.02
Block 1995   58  0.4155  0.0054  0.0559  0.0530  0.3158  0.12
Blumental 1952   45  0.4610  0.0148  0.0751  0.0736  0.2857  0.14
Boshniakovich 1969   8  0.5918  0.009  0.129  0.625  0.657  0.63
Brailowsky 1960   65  0.3962  0.0069  0.0373  0.0356  0.0677  0.04
Bunin 1987   28  0.5131  0.0032  0.0626  0.423  0.7018  0.54
Bunin 1987b   30  0.5023  0.0034  0.0728  0.413  0.7117  0.54
Chiu 1999   67  0.3745  0.0071  0.0465  0.0448  0.0675  0.05
Cohen 1997   82  0.2972  0.0079  0.0280  0.0265  0.0486  0.03
Cortot 1951   44  0.479  0.0130  0.0840  0.232  0.7335  0.41
Csalog 1996   61  0.4037  0.0055  0.0560  0.0540  0.1665  0.09
Czerny 1949   2  0.702  0.372  0.502  0.723  0.791  0.75
Czerny 1990   5  0.6114  0.007  0.118  0.6316  0.685  0.65
Duchoud 2007   72  0.3452  0.0064  0.0847  0.0811  0.5546  0.21
Ezaki 2006   4  0.6138  0.006  0.215  0.646  0.674  0.65
Falvay 1989   32  0.5035  0.0038  0.0931  0.3837  0.3639  0.37
Farrell 1958   16  0.5527  0.0020  0.1419  0.526  0.7110  0.61
Ferenczy 1958   66  0.3747  0.0072  0.0467  0.0469  0.0478  0.04
Fliere 1977   14  0.5617  0.0013  0.1216  0.5319  0.4723  0.50
Fou 1978   49  0.4576  0.0052  0.0561  0.0545  0.1071  0.07
Francois 1956   63  0.3920  0.0065  0.0849  0.0824  0.3551  0.17
Friedman 1923   83  0.2984  0.0081  0.0378  0.0346  0.0776  0.05
Friedman 1923b   85  0.2777  0.0082  0.0284  0.0276  0.0487  0.03
Friedman 1930   84  0.2753  0.0080  0.0282  0.0281  0.0390  0.02
Garcia 2007   47  0.4665  0.0042  0.1039  0.274  0.6831  0.43
Garcia 2007b   54  0.4536  0.0043  0.0844  0.1616  0.5141  0.29
Gierzod 1998   18  0.5442  0.0022  0.0822  0.4832  0.3437  0.40
Gornostaeva 1994   15  0.5556  0.0019  0.1313  0.563  0.6612  0.61
Groot 1988   59  0.4157  0.0051  0.0658  0.0642  0.1168  0.08
Harasiewicz 1955   6  0.6013  0.0110  0.1514  0.5520  0.5716  0.56
Hatto 1993   35  0.5085  0.0036  0.0732  0.3823  0.4434  0.41
Hatto 1997   33  0.5068  0.0033  0.0729  0.4020  0.4533  0.42
Horowitz 1949   87  0.2622  0.0088  0.0281  0.0270  0.0484  0.03
Indjic 1988   31  0.5086  0.0025  0.0924  0.4322  0.4828  0.45
Kapell 1951   3  0.6312  0.013  0.203  0.704  0.733  0.71
Kissin 1993   42  0.4843  0.0027  0.0733  0.3724  0.5130  0.43
Kushner 1989   11  0.5711  0.015  0.197  0.6312  0.5911  0.61
Luisada 1991   78  0.3387  0.0086  0.0285  0.0281  0.0388  0.02
Lushtak 2004   34  0.5069  0.0031  0.0934  0.3728  0.4138  0.39
Malcuzynski 1961   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Magaloff 1978   37  0.4966  0.0046  0.0654  0.0629  0.3654  0.15
Magin 1975   56  0.4480  0.0063  0.0946  0.0952  0.0570  0.07
Michalowski 1933   88  0.2381  0.0084  0.0289  0.0234  0.2073  0.06
Milkina 1970   7  0.5928  0.008  0.1211  0.5816  0.5613  0.57
Mohovich 1999   22  0.5232  0.0018  0.1117  0.5215  0.5421  0.53
Moravec 1969   24  0.5219  0.0024  0.0823  0.459  0.5922  0.52
Morozova 2008   25  0.5225  0.0026  0.0620  0.4910  0.5820  0.53
Neighaus 1950   75  0.3350  0.0083  0.0379  0.0352  0.0581  0.04
Niedzielski 1931   64  0.3939  0.0070  0.0469  0.0424  0.3259  0.11
Ohlsson 1999   52  0.4551  0.0058  0.0563  0.0543  0.1564  0.09
Osinska 1989   17  0.556  0.0214  0.1410  0.5924  0.5315  0.56
Pachmann 1927   69  0.3673  0.0059  0.0652  0.0610  0.5548  0.18
Paderewski 1930   74  0.3390  0.0067  0.0372  0.0316  0.3960  0.11
Perlemuter 1992   81  0.3074  0.0078  0.0286  0.0249  0.0682  0.03
Pierdomenico 2008   62  0.4021  0.0062  0.0750  0.079  0.5747  0.20
Poblocka 1999   41  0.4878  0.0044  0.0842  0.1736  0.2545  0.21
Rabcewiczowa 1932   27  0.5233  0.0028  0.0627  0.427  0.5127  0.46
Rachmaninoff 1923   55  0.445  0.0217  0.1141  0.1926  0.3942  0.27
Rangell 2001   23  0.5230  0.0023  0.0721  0.483  0.6814  0.57
Richter 1976   21  0.5263  0.0021  0.0830  0.3916  0.5926  0.48
Rosen 1989   48  0.4658  0.0053  0.0466  0.0434  0.2862  0.11
Rosenthal 1930   73  0.3482  0.0075  0.0377  0.0346  0.0680  0.04
Rosenthal 1931   80  0.3183  0.0074  0.0376  0.0341  0.1374  0.06
Rosenthal 1931b   86  0.2670  0.0073  0.0371  0.0338  0.2069  0.08
Rosenthal 1931c   68  0.3715  0.0066  0.0464  0.0436  0.2167  0.09
Rosenthal 1931d   71  0.3464  0.0068  0.0374  0.0334  0.2866  0.09
Rossi 2007   57  0.4240  0.0061  0.0657  0.0610  0.5050  0.17
Rubinstein 1939   9  0.588  0.0111  0.1712  0.585  0.678  0.62
Rubinstein 1952   19  0.537  0.0215  0.1315  0.5518  0.5419  0.54
Rubinstein 1966   12  0.5741  0.0012  0.194  0.6520  0.599  0.62
Schilhawsky 1960   26  0.5226  0.0037  0.0836  0.309  0.5832  0.42
Shebanova 2002   53  0.4524  0.0056  0.0562  0.0534  0.2561  0.11
Smith 1975   79  0.3288  0.0077  0.0375  0.0383  0.0383  0.03
Sokolov 2002   51  0.4534  0.0060  0.0655  0.0626  0.4252  0.16
Sztompka 1959   20  0.533  0.0329  0.0637  0.2919  0.5636  0.40
Tomsic 1995   29  0.5171  0.0035  0.0725  0.439  0.5824  0.50
Uninsky 1932   43  0.4816  0.0041  0.0838  0.284  0.7129  0.45
Uninsky 1971   40  0.4859  0.0049  0.0653  0.0628  0.3855  0.15
Wasowski 1980   36  0.4929  0.0047  0.0848  0.0829  0.3749  0.17
Zak 1937   46  0.4691  0.0050  0.0656  0.0626  0.4153  0.16
Zak 1951   39  0.4867  0.0045  0.0745  0.1522  0.4544  0.26
Average   1  0.721  0.411  0.411  0.8617  0.642  0.74
Random 1   91  0.0046  0.0090  0.0190  0.0110  0.4672  0.07
Random 2   89  0.0475  0.0091  0.0191  0.0132  0.2079  0.04
Random 3   90  0.0379  0.0089  0.0287  0.022  0.5963  0.11

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).