Morozova 2008

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   6  0.717  0.043  0.133  0.5017  0.436  0.46
Anderszewski 2003   36  0.6154  0.0042  0.0542  0.1027  0.2042  0.14
Ashkenazy 1981   11  0.6910  0.029  0.137  0.4223  0.368  0.39
Bacha 2000   83  0.4052  0.0050  0.0458  0.0446  0.0771  0.05
Badura 1965   15  0.676  0.0611  0.089  0.382  0.615  0.48
Barbosa 1983   56  0.5536  0.0052  0.0546  0.0523  0.2746  0.12
Biret 1990   40  0.6039  0.0025  0.0631  0.2135  0.1935  0.20
Blet 2003   19  0.6763  0.0034  0.0726  0.2423  0.3121  0.27
Block 1995   70  0.5058  0.0046  0.0456  0.0439  0.1168  0.07
Blumental 1952   39  0.6012  0.0139  0.0538  0.1319  0.2338  0.17
Boshniakovich 1969   18  0.6776  0.0030  0.0533  0.1818  0.3923  0.26
Brailowsky 1960   48  0.589  0.0263  0.0449  0.0435  0.2351  0.10
Bunin 1987   59  0.5449  0.0069  0.0452  0.0434  0.2656  0.10
Bunin 1987b   61  0.5437  0.0068  0.0454  0.0435  0.2754  0.10
Chiu 1999   23  0.6527  0.0129  0.0525  0.2410  0.4913  0.34
Cohen 1997   87  0.2668  0.0087  0.0460  0.0479  0.0384  0.03
Cortot 1951   46  0.5947  0.0059  0.0464  0.0432  0.2161  0.09
Csalog 1996   86  0.2972  0.0086  0.0369  0.0370  0.0483  0.03
Czerny 1949   26  0.635  0.078  0.1610  0.3529  0.2817  0.31
Czerny 1990   5  0.7216  0.017  0.156  0.4219  0.397  0.40
Duchoud 2007   50  0.5779  0.0044  0.0443  0.0821  0.3537  0.17
Ezaki 2006   3  0.754  0.086  0.1415  0.3321  0.3315  0.33
Falvay 1989   62  0.5341  0.0071  0.0370  0.0360  0.0576  0.04
Farrell 1958   38  0.6020  0.0147  0.0462  0.0425  0.2553  0.10
Ferenczy 1958   69  0.5048  0.0084  0.0284  0.0275  0.0388  0.02
Fliere 1977   2  0.752  0.152  0.142  0.5513  0.453  0.50
Fou 1978   14  0.6828  0.0013  0.0912  0.3416  0.3910  0.36
Francois 1956   66  0.5178  0.0037  0.0539  0.1234  0.2240  0.16
Friedman 1923   75  0.4775  0.0077  0.0465  0.0428  0.2950  0.11
Friedman 1923b   74  0.4881  0.0076  0.0287  0.0228  0.2966  0.08
Friedman 1930   57  0.5435  0.0065  0.0447  0.0430  0.2848  0.11
Garcia 2007   55  0.5686  0.0066  0.0459  0.0428  0.3049  0.11
Garcia 2007b   65  0.5285  0.0062  0.0457  0.0425  0.1962  0.09
Gierzod 1998   43  0.6033  0.0028  0.0534  0.1844  0.1144  0.14
Gornostaeva 1994   54  0.5614  0.0148  0.0466  0.0447  0.0579  0.04
Groot 1988   53  0.5631  0.0038  0.0541  0.1137  0.2041  0.15
Harasiewicz 1955   20  0.6682  0.0022  0.0627  0.2435  0.1833  0.21
Hatto 1993   34  0.6253  0.0031  0.0629  0.2221  0.2629  0.24
Hatto 1997   24  0.6487  0.0018  0.0624  0.2422  0.2726  0.25
Horowitz 1949   45  0.5942  0.0064  0.0448  0.0425  0.3845  0.12
Indjic 1988   32  0.6277  0.0032  0.0928  0.2221  0.2925  0.25
Kapell 1951   52  0.5638  0.0043  0.0444  0.0771  0.0473  0.05
Kissin 1993   8  0.7064  0.0019  0.0618  0.3019  0.3814  0.34
Kushner 1989   4  0.731  0.201  0.201  0.582  0.601  0.59
Luisada 1991   1  0.783  0.095  0.125  0.467  0.504  0.48
Lushtak 2004   10  0.6922  0.0112  0.0913  0.3421  0.2818  0.31
Malcuzynski 1961   67  0.5171  0.0058  0.0371  0.0381  0.0381  0.03
Magaloff 1978   64  0.5225  0.0149  0.0463  0.0463  0.0475  0.04
Magin 1975   7  0.7013  0.0110  0.1220  0.2715  0.3119  0.29
Michalowski 1933   68  0.5051  0.0045  0.0467  0.0442  0.1664  0.08
Milkina 1970   47  0.5921  0.0115  0.0719  0.2731  0.2424  0.25
Mohovich 1999   35  0.6155  0.0051  0.0453  0.0461  0.0478  0.04
Moravec 1969   80  0.4326  0.0156  0.0375  0.0336  0.2363  0.08
Morozova 2008   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Neighaus 1950   33  0.6211  0.0226  0.0514  0.3441  0.1236  0.20
Niedzielski 1931   81  0.4367  0.0073  0.0380  0.0354  0.0480  0.03
Ohlsson 1999   29  0.6324  0.0127  0.0623  0.2431  0.2528  0.24
Osinska 1989   25  0.6432  0.0021  0.0622  0.2532  0.2427  0.24
Pachmann 1927   76  0.4583  0.0085  0.0372  0.0371  0.0482  0.03
Paderewski 1930   72  0.5065  0.0083  0.0283  0.0272  0.0387  0.02
Perlemuter 1992   13  0.6874  0.0020  0.0716  0.3315  0.3811  0.35
Pierdomenico 2008   58  0.5484  0.0061  0.0368  0.0332  0.3152  0.10
Poblocka 1999   44  0.6061  0.0054  0.0461  0.0446  0.0672  0.05
Rabcewiczowa 1932   42  0.6040  0.0024  0.0637  0.1725  0.3030  0.23
Rachmaninoff 1923   9  0.7019  0.014  0.114  0.493  0.572  0.53
Rangell 2001   85  0.3634  0.0072  0.0378  0.0380  0.0385  0.03
Richter 1976   49  0.5869  0.0067  0.0451  0.0426  0.2847  0.11
Rosen 1989   37  0.618  0.0223  0.0630  0.2229  0.2431  0.23
Rosenthal 1930   71  0.5056  0.0057  0.0377  0.0324  0.2760  0.09
Rosenthal 1931   79  0.4360  0.0079  0.0379  0.0328  0.2365  0.08
Rosenthal 1931b   82  0.4080  0.0080  0.0376  0.0336  0.1074  0.05
Rosenthal 1931c   78  0.4345  0.0078  0.0286  0.0238  0.1869  0.06
Rosenthal 1931d   84  0.3873  0.0081  0.0288  0.0252  0.0586  0.03
Rossi 2007   73  0.4966  0.0082  0.0382  0.0336  0.1767  0.07
Rubinstein 1939   63  0.5323  0.0174  0.0381  0.0327  0.3057  0.09
Rubinstein 1952   77  0.4530  0.0075  0.0374  0.0342  0.1470  0.06
Rubinstein 1966   41  0.6050  0.0053  0.0545  0.0522  0.4043  0.14
Schilhawsky 1960   31  0.6270  0.0035  0.0736  0.1736  0.2632  0.21
Shebanova 2002   28  0.6315  0.0117  0.0617  0.3119  0.3516  0.33
Smith 1975   22  0.6529  0.0040  0.0635  0.1732  0.1639  0.16
Sokolov 2002   30  0.6246  0.0036  0.0632  0.2030  0.3522  0.26
Sztompka 1959   17  0.6717  0.0133  0.0621  0.2625  0.3220  0.29
Tomsic 1995   60  0.5462  0.0070  0.0450  0.0435  0.2058  0.09
Uninsky 1932   27  0.6357  0.0055  0.0455  0.0432  0.2655  0.10
Uninsky 1971   51  0.5759  0.0060  0.0373  0.0365  0.0577  0.04
Wasowski 1980   21  0.6643  0.0041  0.0540  0.1113  0.3634  0.20
Zak 1937   16  0.6744  0.0016  0.0611  0.3422  0.3612  0.35
Zak 1951   12  0.6818  0.0114  0.098  0.4020  0.349  0.37
Random 1   90  -0.1690  0.0090  0.0190  0.0167  0.0389  0.02
Random 2   88  -0.0488  0.0088  0.0285  0.0210  0.3859  0.09
Random 3   89  -0.1189  0.0089  0.0189  0.0168  0.0490  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).