Garcia 2007b

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   14  0.5871  0.0030  0.0725  0.3847  0.0736  0.16
Anderszewski 2003   49  0.5085  0.0045  0.0465  0.0455  0.0474  0.04
Ashkenazy 1981   51  0.4952  0.0054  0.0466  0.0460  0.0578  0.04
Bacha 2000   66  0.4576  0.0072  0.0467  0.0466  0.0463  0.04
Badura 1965   75  0.4272  0.0073  0.0382  0.0352  0.0676  0.04
Barbosa 1983   83  0.3763  0.0069  0.0378  0.0347  0.0672  0.04
Biret 1990   18  0.5657  0.0027  0.0720  0.4733  0.2325  0.33
Blet 2003   69  0.4558  0.0070  0.0461  0.0449  0.0659  0.05
Block 1995   80  0.4048  0.0068  0.0384  0.0351  0.0677  0.04
Blumental 1952   46  0.5188  0.0037  0.0937  0.2179  0.0448  0.09
Boshniakovich 1969   29  0.5355  0.0029  0.0828  0.3445  0.0837  0.16
Brailowsky 1960   78  0.4253  0.0081  0.0547  0.0576  0.0465  0.04
Bunin 1987   77  0.4237  0.0076  0.0457  0.0443  0.1351  0.07
Bunin 1987b   79  0.4238  0.0075  0.0553  0.0541  0.1646  0.09
Chiu 1999   54  0.4917  0.0064  0.0387  0.0352  0.0566  0.04
Cohen 1997   73  0.4314  0.0057  0.0459  0.0410  0.4240  0.13
Cortot 1951   64  0.4630  0.0043  0.0443  0.1022  0.4631  0.21
Csalog 1996   76  0.4243  0.0074  0.0454  0.0462  0.0473  0.04
Czerny 1949   25  0.5440  0.0023  0.0822  0.4637  0.2818  0.36
Czerny 1990   39  0.5189  0.0048  0.0551  0.0558  0.0562  0.05
Duchoud 2007   53  0.4951  0.0053  0.0456  0.0414  0.3842  0.12
Ezaki 2006   52  0.4925  0.0065  0.0381  0.0375  0.0483  0.03
Falvay 1989   63  0.4631  0.0080  0.0645  0.0660  0.0654  0.06
Farrell 1958   15  0.5723  0.006  0.174  0.6012  0.533  0.56
Ferenczy 1958   58  0.4877  0.0042  0.0442  0.1030  0.3434  0.18
Fliere 1977   5  0.6327  0.005  0.175  0.6035  0.2020  0.35
Fou 1978   11  0.5846  0.0022  0.1119  0.4830  0.2521  0.35
Francois 1956   42  0.5181  0.0041  0.0540  0.1119  0.4729  0.23
Friedman 1923   55  0.4816  0.0062  0.0460  0.0441  0.1353  0.07
Friedman 1923b   56  0.4824  0.0061  0.0379  0.0346  0.0761  0.05
Friedman 1930   44  0.5110  0.0158  0.0474  0.0437  0.2445  0.10
Garcia 2007   1  0.811  0.821  0.811  0.881  0.931  0.90
Garcia 2007b   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Gierzod 1998   9  0.5959  0.0020  0.0817  0.4946  0.0733  0.19
Gornostaeva 1994   13  0.582  0.0224  0.0724  0.3922  0.3515  0.37
Groot 1988   60  0.484  0.0114  0.0732  0.2637  0.1335  0.18
Harasiewicz 1955   20  0.5620  0.0011  0.0816  0.4936  0.2026  0.31
Hatto 1993   30  0.5364  0.0012  0.0915  0.5130  0.2619  0.36
Hatto 1997   26  0.5434  0.008  0.168  0.5326  0.2713  0.38
Horowitz 1949   67  0.4586  0.0077  0.0471  0.0450  0.0757  0.05
Indjic 1988   27  0.5433  0.009  0.1210  0.5327  0.3010  0.40
Kapell 1951   3  0.638  0.012  0.262  0.6111  0.456  0.52
Kissin 1993   32  0.5265  0.0047  0.0468  0.0463  0.0471  0.04
Kushner 1989   19  0.5632  0.0019  0.0813  0.5133  0.2812  0.38
Luisada 1991   35  0.5283  0.0051  0.0546  0.0553  0.0655  0.05
Lushtak 2004   28  0.5378  0.0032  0.0927  0.3532  0.2327  0.28
Malcuzynski 1961   50  0.4922  0.0038  0.0638  0.1342  0.0943  0.11
Magaloff 1978   61  0.4728  0.0067  0.0385  0.0362  0.0485  0.03
Magin 1975   8  0.5911  0.0117  0.0712  0.5234  0.2811  0.38
Michalowski 1933   72  0.4415  0.0052  0.0462  0.0440  0.2047  0.09
Milkina 1970   21  0.5682  0.0033  0.0829  0.3472  0.0539  0.13
Mohovich 1999   24  0.5490  0.0036  0.0933  0.2539  0.1730  0.21
Moravec 1969   62  0.4729  0.0078  0.0464  0.0457  0.0564  0.04
Morozova 2008   40  0.5136  0.0040  0.0541  0.1046  0.0650  0.08
Neighaus 1950   31  0.5349  0.0046  0.0463  0.0439  0.1452  0.07
Niedzielski 1931   65  0.4618  0.0060  0.0476  0.0446  0.0656  0.05
Ohlsson 1999   22  0.5541  0.0018  0.0711  0.5230  0.349  0.42
Osinska 1989   4  0.6313  0.003  0.273  0.6119  0.512  0.56
Pachmann 1927   82  0.3821  0.0083  0.0477  0.0472  0.0386  0.03
Paderewski 1930   57  0.4879  0.0044  0.0444  0.0811  0.5232  0.20
Perlemuter 1992   16  0.5760  0.0026  0.0718  0.489  0.547  0.51
Pierdomenico 2008   33  0.5212  0.0016  0.0736  0.236  0.5516  0.36
Poblocka 1999   34  0.5273  0.0035  0.0831  0.2845  0.0638  0.13
Rabcewiczowa 1932   17  0.569  0.0128  0.0723  0.4118  0.3314  0.37
Rachmaninoff 1923   38  0.5254  0.0039  0.0639  0.1258  0.0549  0.08
Rangell 2001   71  0.4450  0.0063  0.0383  0.0354  0.0579  0.04
Richter 1976   68  0.4526  0.0071  0.0380  0.0345  0.1058  0.05
Rosen 1989   7  0.6044  0.0021  0.0921  0.4633  0.2722  0.35
Rosenthal 1930   81  0.3980  0.0082  0.0552  0.0567  0.0375  0.04
Rosenthal 1931   87  0.3369  0.0087  0.0472  0.0475  0.0387  0.03
Rosenthal 1931b   85  0.3570  0.0085  0.0475  0.0468  0.0481  0.04
Rosenthal 1931c   84  0.3574  0.0084  0.0473  0.0479  0.0388  0.03
Rosenthal 1931d   86  0.3466  0.0086  0.0386  0.0346  0.0680  0.04
Rossi 2007   36  0.527  0.0125  0.0835  0.2310  0.4624  0.33
Rubinstein 1939   47  0.5135  0.0055  0.0548  0.0539  0.2044  0.10
Rubinstein 1952   59  0.483  0.0159  0.0470  0.0466  0.0482  0.04
Rubinstein 1966   37  0.526  0.0115  0.0834  0.2553  0.0641  0.12
Schilhawsky 1960   48  0.5019  0.0034  0.1030  0.3337  0.1928  0.25
Shebanova 2002   10  0.5956  0.0013  0.119  0.5335  0.2517  0.36
Smith 1975   43  0.5145  0.0049  0.0550  0.0564  0.0467  0.04
Sokolov 2002   70  0.4487  0.0066  0.0469  0.0474  0.0384  0.03
Sztompka 1959   2  0.6439  0.004  0.206  0.5927  0.485  0.53
Tomsic 1995   74  0.4361  0.0079  0.0455  0.0467  0.0570  0.04
Uninsky 1932   23  0.5467  0.0031  0.1026  0.3533  0.3423  0.34
Uninsky 1971   12  0.5847  0.0010  0.1214  0.5125  0.478  0.49
Wasowski 1980   6  0.625  0.017  0.147  0.5611  0.534  0.54
Zak 1937   45  0.5162  0.0056  0.0549  0.0574  0.0468  0.04
Zak 1951   41  0.5168  0.0050  0.0458  0.0474  0.0469  0.04
Random 1   90  -0.1684  0.0089  0.0189  0.0161  0.0389  0.02
Random 2   89  -0.1175  0.0090  0.0190  0.0188  0.0290  0.01
Random 3   88  -0.0642  0.0088  0.0288  0.0238  0.1360  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).