Ezaki 2006

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   17  0.6637  0.0020  0.1023  0.3937  0.2134  0.29
Anderszewski 2003   3  0.7149  0.0011  0.148  0.646  0.597  0.61
Ashkenazy 1981   33  0.6259  0.0042  0.0642  0.1334  0.2245  0.17
Bacha 2000   39  0.6050  0.0038  0.0735  0.223  0.5827  0.36
Badura 1965   47  0.5835  0.0051  0.0469  0.0436  0.2761  0.10
Barbosa 1983   14  0.678  0.038  0.1216  0.553  0.6510  0.60
Biret 1990   23  0.6515  0.0119  0.1418  0.5018  0.4119  0.45
Blet 2003   60  0.5471  0.0069  0.0464  0.0444  0.0974  0.06
Block 1995   34  0.616  0.0427  0.0727  0.346  0.5720  0.44
Blumental 1952   13  0.674  0.0514  0.1210  0.614  0.5511  0.58
Boshniakovich 1969   51  0.5781  0.0053  0.0462  0.0452  0.0679  0.05
Brailowsky 1960   36  0.6114  0.0141  0.0641  0.1413  0.6033  0.29
Bunin 1987   82  0.4383  0.0080  0.0474  0.0436  0.2163  0.09
Bunin 1987b   83  0.4363  0.0077  0.0382  0.0334  0.2662  0.09
Chiu 1999   25  0.6423  0.0129  0.0733  0.284  0.5224  0.38
Cohen 1997   81  0.4368  0.0086  0.0465  0.0442  0.1171  0.07
Cortot 1951   66  0.5054  0.0066  0.0470  0.0437  0.2264  0.09
Csalog 1996   70  0.4877  0.0052  0.0558  0.0522  0.3651  0.13
Czerny 1949   16  0.6616  0.0110  0.1313  0.5914  0.5412  0.56
Czerny 1990   2  0.725  0.053  0.223  0.729  0.643  0.68
Duchoud 2007   86  0.3984  0.0085  0.0477  0.0452  0.0678  0.05
Ezaki 2006   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Falvay 1989   28  0.6322  0.0139  0.0739  0.1812  0.5031  0.30
Farrell 1958   35  0.6118  0.0131  0.0734  0.2823  0.4330  0.35
Ferenczy 1958   59  0.5465  0.0070  0.0468  0.0440  0.1766  0.08
Fliere 1977   8  0.709  0.0312  0.139  0.6132  0.2225  0.37
Fou 1978   12  0.6733  0.0024  0.0722  0.4024  0.3526  0.37
Francois 1956   75  0.4555  0.0079  0.0385  0.0345  0.0780  0.05
Friedman 1923   54  0.5682  0.0065  0.0653  0.0638  0.2059  0.11
Friedman 1923b   53  0.5669  0.0063  0.0747  0.0737  0.2452  0.13
Friedman 1930   55  0.5685  0.0064  0.0557  0.0533  0.3055  0.12
Garcia 2007   69  0.4978  0.0075  0.0379  0.0362  0.0487  0.03
Garcia 2007b   68  0.4940  0.0068  0.0475  0.0481  0.0388  0.03
Gierzod 1998   11  0.6721  0.0113  0.1412  0.5934  0.3518  0.45
Gornostaeva 1994   40  0.5961  0.0049  0.0556  0.0525  0.3353  0.13
Groot 1988   63  0.5374  0.0048  0.0466  0.0438  0.1272  0.07
Harasiewicz 1955   1  0.761  0.271  0.271  0.765  0.701  0.73
Hatto 1993   24  0.6543  0.0034  0.1130  0.3133  0.2335  0.27
Hatto 1997   19  0.6638  0.0032  0.0729  0.3239  0.1638  0.23
Horowitz 1949   72  0.4757  0.0078  0.0386  0.0351  0.0775  0.05
Indjic 1988   22  0.6539  0.0033  0.0631  0.3139  0.1937  0.24
Kapell 1951   27  0.6312  0.027  0.127  0.6410  0.4713  0.55
Kissin 1993   10  0.6817  0.0117  0.1817  0.5430  0.4017  0.46
Kushner 1989   30  0.6345  0.0036  0.0836  0.2143  0.1343  0.17
Luisada 1991   9  0.6947  0.0018  0.1619  0.4815  0.4516  0.46
Lushtak 2004   37  0.6060  0.0057  0.0654  0.0646  0.0870  0.07
Malcuzynski 1961   43  0.5910  0.029  0.1214  0.563  0.659  0.60
Magaloff 1978   46  0.5948  0.0059  0.0845  0.0823  0.3146  0.16
Magin 1975   18  0.6642  0.0016  0.1415  0.5523  0.4315  0.49
Michalowski 1933   84  0.4286  0.0083  0.0387  0.0353  0.0683  0.04
Milkina 1970   4  0.712  0.172  0.282  0.745  0.672  0.70
Mohovich 1999   15  0.6711  0.0215  0.1411  0.618  0.666  0.63
Moravec 1969   45  0.5929  0.0021  0.0824  0.384  0.6714  0.50
Morozova 2008   31  0.6256  0.0035  0.0838  0.1935  0.2540  0.22
Neighaus 1950   71  0.4887  0.0082  0.0478  0.0458  0.0584  0.04
Niedzielski 1931   62  0.5375  0.0060  0.0652  0.0635  0.2056  0.11
Ohlsson 1999   57  0.5519  0.0143  0.0643  0.1371  0.0467  0.07
Osinska 1989   6  0.717  0.036  0.134  0.7125  0.508  0.60
Pachmann 1927   73  0.4632  0.0084  0.0380  0.0323  0.3857  0.11
Paderewski 1930   87  0.3288  0.0087  0.0476  0.0474  0.0386  0.03
Perlemuter 1992   67  0.5062  0.0076  0.0383  0.0362  0.0485  0.03
Pierdomenico 2008   85  0.4270  0.0081  0.0384  0.0367  0.0581  0.04
Poblocka 1999   32  0.6227  0.0023  0.0721  0.4136  0.3128  0.36
Rabcewiczowa 1932   65  0.5241  0.0047  0.0560  0.0561  0.0482  0.04
Rachmaninoff 1923   20  0.6544  0.0022  0.0820  0.4614  0.4121  0.43
Rangell 2001   77  0.4531  0.0062  0.0746  0.0715  0.4642  0.18
Richter 1976   52  0.5725  0.0056  0.0655  0.0633  0.3747  0.15
Rosen 1989   26  0.6428  0.0030  0.0728  0.3228  0.2932  0.30
Rosenthal 1930   76  0.4566  0.0074  0.0471  0.0431  0.2760  0.10
Rosenthal 1931   74  0.4676  0.0067  0.0467  0.0412  0.5548  0.15
Rosenthal 1931b   80  0.4358  0.0073  0.0381  0.0321  0.4158  0.11
Rosenthal 1931c   78  0.4579  0.0071  0.0473  0.0423  0.4054  0.13
Rosenthal 1931d   79  0.4464  0.0072  0.0472  0.0415  0.5349  0.15
Rossi 2007   50  0.5824  0.0058  0.0648  0.066  0.5541  0.18
Rubinstein 1939   48  0.5846  0.0045  0.0561  0.0518  0.3950  0.14
Rubinstein 1952   61  0.5451  0.0037  0.0740  0.1732  0.3039  0.23
Rubinstein 1966   21  0.6534  0.0025  0.0825  0.3825  0.4223  0.40
Schilhawsky 1960   41  0.5972  0.0055  0.0651  0.0642  0.1065  0.08
Shebanova 2002   38  0.6030  0.0044  0.0644  0.1277  0.0468  0.07
Smith 1975   29  0.6320  0.0140  0.0737  0.2024  0.3136  0.25
Sokolov 2002   58  0.5526  0.0026  0.0826  0.3810  0.4722  0.42
Sztompka 1959   42  0.5989  0.0054  0.0649  0.0658  0.0576  0.05
Tomsic 1995   64  0.5353  0.0061  0.0650  0.0618  0.4844  0.17
Uninsky 1932   44  0.5936  0.0028  0.0732  0.3025  0.4329  0.36
Uninsky 1971   56  0.5552  0.0046  0.0463  0.0453  0.0677  0.05
Wasowski 1980   49  0.5873  0.0050  0.0559  0.0550  0.0773  0.06
Zak 1937   5  0.7113  0.025  0.146  0.647  0.624  0.63
Zak 1951   7  0.713  0.064  0.145  0.666  0.615  0.63
Random 1   89  -0.0890  0.0089  0.0189  0.0148  0.0489  0.02
Random 2   88  -0.0180  0.0088  0.0288  0.0222  0.2869  0.07
Random 3   90  -0.0867  0.0090  0.0190  0.0145  0.0590  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).