Ezaki 2006

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   7  0.8027  0.0112  0.088  0.5431  0.2917  0.40
Anderszewski 2003   4  0.833  0.113  0.145  0.563  0.504  0.53
Ashkenazy 1981   18  0.7730  0.0011  0.1022  0.3721  0.3122  0.34
Bacha 2000   47  0.6944  0.0037  0.0730  0.2311  0.4025  0.30
Badura 1965   40  0.7014  0.0160  0.0457  0.0444  0.1661  0.08
Barbosa 1983   48  0.6840  0.0040  0.0639  0.187  0.4627  0.29
Biret 1990   30  0.735  0.0419  0.0817  0.3915  0.4218  0.40
Blet 2003   60  0.6421  0.0165  0.0380  0.0345  0.0969  0.05
Block 1995   55  0.6552  0.0056  0.0546  0.0518  0.2845  0.12
Blumental 1952   25  0.734  0.0424  0.0824  0.3411  0.2924  0.31
Boshniakovich 1969   50  0.6788  0.0055  0.0548  0.0554  0.0672  0.05
Brailowsky 1960   26  0.7322  0.0141  0.0641  0.126  0.5231  0.25
Bunin 1987   85  0.4265  0.0087  0.0370  0.0356  0.0682  0.04
Bunin 1987b   87  0.4049  0.0086  0.0464  0.0458  0.0577  0.04
Chiu 1999   10  0.8031  0.0017  0.0915  0.413  0.4613  0.43
Cohen 1997   82  0.4775  0.0088  0.0465  0.0460  0.0481  0.04
Cortot 1951   42  0.7068  0.0047  0.0453  0.0423  0.4044  0.13
Csalog 1996   88  0.3966  0.0077  0.0382  0.0338  0.1563  0.07
Czerny 1949   33  0.7272  0.0020  0.0823  0.3530  0.3920  0.37
Czerny 1990   5  0.827  0.039  0.153  0.587  0.513  0.54
Duchoud 2007   75  0.5384  0.0081  0.0374  0.0349  0.0680  0.04
Ezaki 2006   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Falvay 1989   66  0.5956  0.0082  0.0386  0.0339  0.2553  0.09
Farrell 1958   24  0.7420  0.0130  0.0833  0.2122  0.3926  0.29
Ferenczy 1958   58  0.6454  0.0078  0.0461  0.0446  0.0770  0.05
Fliere 1977   16  0.7818  0.0126  0.0820  0.3844  0.1433  0.23
Fou 1978   27  0.7333  0.0048  0.0547  0.0539  0.1259  0.08
Francois 1956   69  0.5876  0.0075  0.0384  0.0353  0.0585  0.04
Friedman 1923   6  0.8155  0.0022  0.0918  0.3924  0.4315  0.41
Friedman 1923b   8  0.8017  0.0121  0.0916  0.3924  0.4314  0.41
Friedman 1930   12  0.8069  0.0027  0.1126  0.3024  0.4321  0.36
Garcia 2007   49  0.6773  0.0063  0.0378  0.0349  0.0771  0.05
Garcia 2007b   64  0.6151  0.0068  0.0388  0.0351  0.0586  0.04
Gierzod 1998   31  0.7329  0.0025  0.0719  0.3844  0.1337  0.22
Gornostaeva 1994   59  0.6457  0.0053  0.0450  0.0460  0.0483  0.04
Groot 1988   54  0.6579  0.0046  0.0549  0.0522  0.3543  0.13
Harasiewicz 1955   2  0.8610  0.024  0.152  0.614  0.561  0.58
Hatto 1993   23  0.7437  0.0031  0.0635  0.2036  0.2140  0.20
Hatto 1997   19  0.7615  0.0133  0.0934  0.2036  0.2139  0.20
Horowitz 1949   44  0.6958  0.0054  0.0451  0.0438  0.3147  0.11
Indjic 1988   20  0.7634  0.0032  0.0736  0.2036  0.2038  0.20
Kapell 1951   61  0.6343  0.0013  0.0821  0.3832  0.1434  0.23
Kissin 1993   22  0.7526  0.0116  0.0912  0.4925  0.3316  0.40
Kushner 1989   46  0.6960  0.0059  0.0456  0.0470  0.0476  0.04
Luisada 1991   3  0.8413  0.015  0.1311  0.518  0.4210  0.46
Lushtak 2004   37  0.7180  0.0061  0.0369  0.0361  0.0489  0.03
Malcuzynski 1961   72  0.5724  0.0135  0.0640  0.177  0.4528  0.28
Magaloff 1978   57  0.6462  0.0069  0.0466  0.0440  0.1757  0.08
Magin 1975   29  0.7312  0.0210  0.1213  0.4717  0.4212  0.44
Michalowski 1933   74  0.5689  0.0079  0.0377  0.0358  0.0579  0.04
Milkina 1970   15  0.782  0.122  0.224  0.586  0.572  0.57
Mohovich 1999   21  0.7636  0.0015  0.0914  0.4410  0.548  0.49
Moravec 1969   65  0.6047  0.0042  0.0442  0.1210  0.5330  0.25
Morozova 2008   17  0.7761  0.0023  0.0931  0.2229  0.2435  0.23
Neighaus 1950   51  0.6785  0.0052  0.0458  0.0459  0.0584  0.04
Niedzielski 1931   45  0.6950  0.0018  0.0725  0.3221  0.4419  0.38
Ohlsson 1999   56  0.6428  0.0051  0.0462  0.0453  0.0578  0.04
Osinska 1989   13  0.799  0.0314  0.0810  0.5216  0.459  0.48
Pachmann 1927   67  0.5845  0.0085  0.0376  0.0362  0.0388  0.03
Paderewski 1930   70  0.5781  0.0083  0.0387  0.0364  0.0387  0.03
Perlemuter 1992   38  0.7090  0.0057  0.0454  0.0463  0.0475  0.04
Pierdomenico 2008   79  0.4967  0.0062  0.0375  0.0336  0.2458  0.08
Poblocka 1999   62  0.6119  0.0143  0.0443  0.0854  0.0564  0.06
Rabcewiczowa 1932   63  0.6153  0.0066  0.0463  0.0446  0.0767  0.05
Rachmaninoff 1923   11  0.8032  0.008  0.129  0.545  0.505  0.52
Rangell 2001   86  0.4141  0.0076  0.0383  0.0323  0.3452  0.10
Richter 1976   73  0.5670  0.0080  0.0381  0.0346  0.1265  0.06
Rosen 1989   36  0.7135  0.0028  0.0628  0.2529  0.2332  0.24
Rosenthal 1930   77  0.5063  0.0074  0.0459  0.0429  0.1860  0.08
Rosenthal 1931   80  0.4974  0.0070  0.0368  0.0317  0.4248  0.11
Rosenthal 1931b   78  0.4986  0.0071  0.0379  0.0317  0.4250  0.11
Rosenthal 1931c   84  0.4477  0.0073  0.0371  0.0326  0.2656  0.09
Rosenthal 1931d   81  0.4964  0.0072  0.0372  0.0319  0.3749  0.11
Rossi 2007   35  0.7225  0.0149  0.0452  0.046  0.5541  0.15
Rubinstein 1939   53  0.6646  0.0058  0.0460  0.0431  0.2054  0.09
Rubinstein 1952   83  0.4559  0.0067  0.0385  0.0348  0.1074  0.05
Rubinstein 1966   39  0.7038  0.0044  0.0445  0.0840  0.2242  0.13
Schilhawsky 1960   52  0.6671  0.0050  0.0455  0.0447  0.0866  0.06
Shebanova 2002   43  0.6939  0.0038  0.0529  0.2581  0.0355  0.09
Smith 1975   28  0.7316  0.0129  0.0827  0.2913  0.3823  0.33
Sokolov 2002   68  0.586  0.0336  0.0737  0.1916  0.3529  0.26
Sztompka 1959   32  0.7287  0.0034  0.0732  0.2256  0.0551  0.10
Tomsic 1995   76  0.5148  0.0084  0.0367  0.0342  0.1662  0.07
Uninsky 1932   41  0.7023  0.0139  0.0538  0.1831  0.2936  0.23
Uninsky 1971   71  0.5742  0.0064  0.0373  0.0350  0.0768  0.05
Wasowski 1980   34  0.7278  0.0045  0.0444  0.0832  0.1646  0.11
Zak 1937   9  0.808  0.037  0.247  0.569  0.467  0.51
Zak 1951   14  0.7911  0.026  0.166  0.569  0.486  0.52
Average   1  0.881  0.301  0.301  0.6926  0.3011  0.45
Random 1   91  -0.2391  0.0089  0.0190  0.0141  0.1190  0.03
Random 2   89  -0.1182  0.0091  0.0191  0.0170  0.0391  0.02
Random 3   90  -0.1583  0.0090  0.0189  0.0132  0.2573  0.05

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).